--------------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication\Appendix.log
  log type:  text
 opened on:  21 Mar 2024, 14:35:17

.  
. 
. *** SET DIRECTORY WHERE FILES ARE SAVED. THIS NEEDS TO BE CHANGED!!!
. 
. *global         main "/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Populism/Vox/Analysis/Replication"
. global          main "C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication"

. global results "${main}/results/"

. global          graphs                  "${main}/graphs/"

. 
. cd "${main}"
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication

. 
. ** Recode raw data
. do "Vox_DataPrep.do" 

. *********************************
. *** JOP paper: Historical memory and radical right voting: VOX and the legacy of Francoism
. *** Anja Neundorf and Sergi Pardos Prado
. *** Do-file: DATA PREPERATION
. *** Created: 21/02/2022
. *** Last updated: 21/03/2024
. 
. import spss using "Spain - Vox.sav"
(64 vars, 5,364 obs)

. 
. keep consent_nonAmazon consent_Amazon150 consent_Amazon10 ptv_1-ptv_5 vote2019 treatment t5_union t4_femin t3_immig t2_catalan t1_franco t0_prado dona
> te_nonamazon150 donate_nonamazon10  donate_amazon150 donate_amazon10 donate_amount150__15 donate_amount10_15 donate_amount175_15 dembest demimp imm Q1
> 4_1 Q14_4 nationalism gender education income age domicile polint region utm_campaign Progress Finished

. 
. *** Variable labels
. 
. lab var consent_nonAmazon "consent ad1"

. lab var consent_Amazon150 "consent ad2"

. lab var consent_Amazon10 "consent ad3"

. 
. lab var ptv_1 "PTV: PSOE"

. lab var ptv_2 "PTV: PP"

. lab var ptv_3 "PTV: VOX"

. lab var ptv_4 "PTV: Ciudadanos"

. lab var ptv_5 "PTV: Podemos"

. 
. lab var vote2019 "Vote recall 2019 general election"

. lab var treatment "Treatment"

. lab var t5_union "Support trade union"

. lab var t4_femin "Support feminist organization"

. lab var t3_immig "Support immigrant organization"

. lab var t2_catalan "Support Catalan organization"

. lab var t1_franco "Support Franco foundation"

. lab var t0_prado "Support Prado Museum"

. 
. lab var donate_nonamazon150 "Donation from 150 lottery prize"

. lab var donate_nonamazon10 "Donation from 10 lottery prize"

. lab var donate_amazon150 "Donation from 150 Amazon voucher"

. lab var donate_amazon10 "Donation from 10 Amazon voucher"

. lab var donate_amount150__15 "Donation exact euros"

. lab var donate_amount10_15 "Donation exact euros"

. lab var donate_amount175_15 "Donation exact euros"

. 
. lab var dembest "Democracy preferred form of government"

. lab var demimp "How important to live in democracy"

. lab var imm "Attitude towards immigration"

. 
. lab var Q14_1 "Agree with politicians need to follow will of the people"

. lab var Q14_4 "Agree with people and not politicians should take important decisions"

. 
. lab var nationalism "National pride"

. lab var gender "Gender"

. lab var education "Education"

. lab def edu 1"No education" 2"Primary" 3"Secondary" 4"University" 5"Vocational" 6"Other" 

. lab val education edu

. 
. lab var income "Income"

. lab var age "Age"

. lab var domicile "Domicile"

. lab var polint "Political interest"

. lab var region "Region"

.  
. lab var utm_campaign "Social media ad recruitment type"

. lab var Progress "% of completed surveys"

. lab var Finished "Finished survey"

. 
. ssc install wordcb
checking wordcb consistency and verifying not already installed...
all files already exist and are up to date.

. wordcb using "codebook", replace
successfully replaced "C:/Users/spp7e/Dropbox/Project_Populism/Vox/Analysis/Replication/codebook.docx"
Progress:
      0%      20%      40%      60%      80%      100%
      ........................................successfully appended to "C:/Users/spp7e/Dropbox/Project_Populism/Vox/Analysis/Replication/codebook.docx"


Microsoft Word file codebook.docx written.

. 
. ** -----------
. * Dropping cases that did not give consent
. tab1 consent_nonAmazon consent_Amazon150 consent_Amazon10

-> tabulation of consent_nonAmazon_  

consent ad1 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |      4,593       99.48       99.48
         No |         24        0.52      100.00
------------+-----------------------------------
      Total |      4,617      100.00

-> tabulation of consent_Amazon150_  

consent ad2 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |        435       99.54       99.54
         No |          2        0.46      100.00
------------+-----------------------------------
      Total |        437      100.00

-> tabulation of consent_Amazon10  

consent ad3 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |        300       99.01       99.01
         No |          3        0.99      100.00
------------+-----------------------------------
      Total |        303      100.00

. tab1 consent_nonAmazon consent_Amazon150 consent_Amazon10, nolabel

-> tabulation of consent_nonAmazon_  

consent ad1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      4,593       99.48       99.48
          2 |         24        0.52      100.00
------------+-----------------------------------
      Total |      4,617      100.00

-> tabulation of consent_Amazon150_  

consent ad2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        435       99.54       99.54
          2 |          2        0.46      100.00
------------+-----------------------------------
      Total |        437      100.00

-> tabulation of consent_Amazon10  

consent ad3 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        300       99.01       99.01
          2 |          3        0.99      100.00
------------+-----------------------------------
      Total |        303      100.00

. 
. drop if consent_nonAmazon==2 | consent_Amazon150==2 | consent_Amazon10==2 
(29 observations deleted)

. 
. ** -----------
. ** Setting all Don't knows to missings 
. mvdecode _all, mv(999=.)
      gender: 58 missing values generated
         age: 3 missing values generated
   education: 11 missing values generated
      region: 7 missing values generated
       ptv_1: 77 missing values generated
       ptv_2: 55 missing values generated
       ptv_3: 55 missing values generated
       ptv_4: 59 missing values generated
       ptv_5: 66 missing values generated
      polint: 36 missing values generated
    t0_prado: 53 missing values generated
    t5_union: 26 missing values generated
    t4_femin: 21 missing values generated
    t3_immig: 26 missing values generated
  t2_catalan: 50 missing values generated
   t1_franco: 28 missing values generated
donate_n~150: 242 missing values generated
donate_no~10: 297 missing values generated
donate_am~10: 43 missing values generated
donate_a~150: 82 missing values generated
     dembest: 124 missing values generated
      demimp: 45 missing values generated
 nationalism: 85 missing values generated
    imm_econ: 132 missing values generated
      income: 238 missing values generated
utm_campaign: string variable ignored
   treatment: string variable ignored

. 
. 
. ** -----------------------
. ** Recode PTV variables
. 
. corr ptv_2 ptv_3
(obs=4,711)

             |    ptv_2    ptv_3
-------------+------------------
       ptv_2 |   1.0000
       ptv_3 |   0.5149   1.0000


. 
. * PSOE
. gen psoe_sup = 0

. replace psoe_sup = 1 if ptv_1>5
(2,189 real changes made)

. replace psoe_sup = . if ptv_1==.
(612 real changes made, 612 to missing)

. 
. * PP
. gen pp_sup = 0

. replace pp_sup = 1 if ptv_2>5
(1,519 real changes made)

. replace pp_sup = . if ptv_2==.
(590 real changes made, 590 to missing)

. 
. 
. * Ciudadanos
. gen ciu_sup = 0 

. replace ciu_sup = 1 if ptv_4>5
(1,017 real changes made)

. replace ciu_sup = . if ptv_4==.
(594 real changes made, 594 to missing)

. 
. * Podemos
. gen pod_sup = 0

. replace pod_sup = 1 if ptv_5>5
(2,651 real changes made)

. replace pod_sup = . if ptv_5==.
(601 real changes made, 601 to missing)

. 
. * VOX
. gen vox_sup = 0

. replace vox_sup = 1 if ptv_3>5 
(1,744 real changes made)

. replace vox_sup = . if ptv_3==.
(590 real changes made, 590 to missing)

. 
. tab  vote2019 vox_sup

     Vote recall 2019 |        vox_sup
     general election |         0          1 |     Total
----------------------+----------------------+----------
Partido Socialista Ob |       889         37 |       926 
 Partido Popular (PP) |       231        286 |       517 
                  Vox |        36        608 |       644 
       Unidas Podemos |     1,473          7 |     1,480 
           Ciudadanos |       150         65 |       215 
Esquerra Republicana  |        19          1 |        20 
Junts per Catalunya ( |         3          1 |         4 
Partido Nacionalista  |         1          1 |         2 
Euskal Herria Bildu ( |        11          1 |        12 
   Coalició Compromis |       120          0 |       120 
   Navarra Suma (NA+) |         0          1 |         1 
                 Otro |       234         12 |       246 
              No voté |       355        115 |       470 
----------------------+----------------------+----------
                Total |     3,522      1,135 |     4,657 

. tab  ptv_3 vox_sup

             |        vox_sup
    PTV: VOX |         0          1 |     Total
-------------+----------------------+----------
   1 - nunca |     3,163          0 |     3,163 
           2 |       133          0 |       133 
           3 |        70          0 |        70 
           4 |        62          0 |        62 
           5 |       163          0 |       163 
           6 |         0         96 |        96 
           7 |         0        151 |       151 
           8 |         0        199 |       199 
           9 |         0        254 |       254 
10 - siempre |         0        454 |       454 
-------------+----------------------+----------
       Total |     3,591      1,154 |     4,745 

. 
. tab  pp_sup vox_sup, col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

           |        vox_sup
    pp_sup |         0          1 |     Total
-----------+----------------------+----------
         0 |     3,209        595 |     3,804 
           |     89.86      52.19 |     80.75 
-----------+----------------------+----------
         1 |       362        545 |       907 
           |     10.14      47.81 |     19.25 
-----------+----------------------+----------
     Total |     3,571      1,140 |     4,711 
           |    100.00     100.00 |    100.00 

. 
. gen vox_sup_right = 0 if pp_sup==1 | ciu_sup==1
(4,225 missing values generated)

. replace vox_sup_right = 1 if ptv_3>5 
(1,744 real changes made)

. replace vox_sup_right = . if ptv_3==.
(590 real changes made, 590 to missing)

. 
. tab vox_sup_right

vox_sup_rig |
         ht |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        502       30.31       30.31
          1 |      1,154       69.69      100.00
------------+-----------------------------------
      Total |      1,656      100.00

. 
. 
. ** Look at all parties
. 
. tab1 psoe_sup pp_sup vox_sup ciu_sup pod_sup

-> tabulation of psoe_sup  

   psoe_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,146       66.61       66.61
          1 |      1,577       33.39      100.00
------------+-----------------------------------
      Total |      4,723      100.00

-> tabulation of pp_sup  

     pp_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,816       80.42       80.42
          1 |        929       19.58      100.00
------------+-----------------------------------
      Total |      4,745      100.00

-> tabulation of vox_sup  

    vox_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,591       75.68       75.68
          1 |      1,154       24.32      100.00
------------+-----------------------------------
      Total |      4,745      100.00

-> tabulation of ciu_sup  

    ciu_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      4,318       91.08       91.08
          1 |        423        8.92      100.00
------------+-----------------------------------
      Total |      4,741      100.00

-> tabulation of pod_sup  

    pod_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,684       56.70       56.70
          1 |      2,050       43.30      100.00
------------+-----------------------------------
      Total |      4,734      100.00

. 
. 
. ** -----------------------
. ** Recode vote variables
. 
. tab vote2019, gen(vote_)

      Vote recall 2019 general election |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
Partido Socialista Obrero Español (PSOE |        932       19.81       19.81
                   Partido Popular (PP) |        533       11.33       31.14
                                    Vox |        647       13.75       44.90
                         Unidas Podemos |      1,481       31.48       76.38
                             Ciudadanos |        222        4.72       81.10
Esquerra Republicana de Catalunya (ERC) |         20        0.43       81.53
            Junts per Catalunya (JxCat) |          4        0.09       81.61
       Partido Nacionalista Vasco (PNV) |          2        0.04       81.65
              Euskal Herria Bildu (EHB) |         12        0.26       81.91
                     Coalició Compromis |        120        2.55       84.46
                     Navarra Suma (NA+) |          2        0.04       84.50
                                   Otro |        250        5.31       89.82
                                No voté |        479       10.18      100.00
----------------------------------------+-----------------------------------
                                  Total |      4,704      100.00

. tab vote2019, nolabel

Vote recall |
       2019 |
    general |
   election |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        932       19.81       19.81
          2 |        533       11.33       31.14
          3 |        647       13.75       44.90
          4 |      1,481       31.48       76.38
          5 |        222        4.72       81.10
          6 |         20        0.43       81.53
          7 |          4        0.09       81.61
          8 |          2        0.04       81.65
          9 |         12        0.26       81.91
         10 |        120        2.55       84.46
         12 |          2        0.04       84.50
         14 |        250        5.31       89.82
         16 |        479       10.18      100.00
------------+-----------------------------------
      Total |      4,704      100.00

. 
. gen vote_vox_right = 0 if vote2019==2 | vote2019==5
(4,580 missing values generated)

. replace vote_vox_right = 1 if vote2019==3
(647 real changes made)

. tab vote_vox_right vote2019

           |     Vote recall 2019 general
vote_vox_r |             election
      ight | Partido P        Vox  Ciudadano |     Total
-----------+---------------------------------+----------
         0 |       533          0        222 |       755 
         1 |         0        647          0 |       647 
-----------+---------------------------------+----------
     Total |       533        647        222 |     1,402 

. 
. ** -----------------------
. ** Recode Support treatment variables
. 
. tab treatment

  Treatment |      Freq.     Percent        Cum.
------------+-----------------------------------
    catalan |        762       16.36       16.36
      femin |        791       16.98       33.34
     franco |        744       15.97       49.31
      immig |        806       17.30       66.62
      prado |        802       17.22       83.83
      union |        753       16.17      100.00
------------+-----------------------------------
      Total |      4,658      100.00

. tab treatment, nolabel

  Treatment |      Freq.     Percent        Cum.
------------+-----------------------------------
    catalan |        762       16.36       16.36
      femin |        791       16.98       33.34
     franco |        744       15.97       49.31
      immig |        806       17.30       66.62
      prado |        802       17.22       83.83
      union |        753       16.17      100.00
------------+-----------------------------------
      Total |      4,658      100.00

. 
. tab1 t5_union t4_femin t3_immig t2_catalan t1_franco t0_prado

-> tabulation of t5_union  

   Support trade |
           union |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        255       35.08       35.08
               2 |         55        7.57       42.64
               3 |         70        9.63       52.27
               4 |        126       17.33       69.60
               5 |        103       14.17       83.77
6 - Máximo apoyo |        118       16.23      100.00
-----------------+-----------------------------------
           Total |        727      100.00

-> tabulation of t4_femin  

Support feminist |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        238       30.91       30.91
               2 |         56        7.27       38.18
               3 |         61        7.92       46.10
               4 |         85       11.04       57.14
               5 |        100       12.99       70.13
6 - Máximo apoyo |        230       29.87      100.00
-----------------+-----------------------------------
           Total |        770      100.00

-> tabulation of t3_immig  

         Support |
       immigrant |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        151       19.36       19.36
               2 |         46        5.90       25.26
               3 |         67        8.59       33.85
               4 |         99       12.69       46.54
               5 |        122       15.64       62.18
6 - Máximo apoyo |        295       37.82      100.00
-----------------+-----------------------------------
           Total |        780      100.00

-> tabulation of t2_catalan  

 Support Catalan |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        358       50.28       50.28
               2 |         47        6.60       56.88
               3 |         77       10.81       67.70
               4 |         92       12.92       80.62
               5 |         78       10.96       91.57
6 - Máximo apoyo |         60        8.43      100.00
-----------------+-----------------------------------
           Total |        712      100.00

-> tabulation of t1_franco  

  Support Franco |
      foundation |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        537       75.00       75.00
               2 |         34        4.75       79.75
               3 |         50        6.98       86.73
               4 |         47        6.56       93.30
               5 |         16        2.23       95.53
6 - Máximo apoyo |         32        4.47      100.00
-----------------+-----------------------------------
           Total |        716      100.00

-> tabulation of t0_prado  

   Support Prado |
          Museum |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        130       17.36       17.36
               2 |         65        8.68       26.03
               3 |        105       14.02       40.05
               4 |        151       20.16       60.21
               5 |        148       19.76       79.97
6 - Máximo apoyo |        150       20.03      100.00
-----------------+-----------------------------------
           Total |        749      100.00

. 
. 
. gen support = .
(5,335 missing values generated)

. replace support = t5_union if treatment == "union"
(727 real changes made)

. replace support = t4_femin if treatment == "femin"
(770 real changes made)

. replace support = t3_immig if treatment == "immig"
(780 real changes made)

. replace support = t2_catalan if treatment == "catalan"
(712 real changes made)

. replace support = t1_franco if treatment == "franco"
(716 real changes made)

. replace support = t0_prado if treatment == "prado"
(749 real changes made)

. 
. 
. tab support

    support |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,669       37.47       37.47
          2 |        303        6.80       44.27
          3 |        430        9.65       53.93
          4 |        600       13.47       67.40
          5 |        567       12.73       80.13
          6 |        885       19.87      100.00
------------+-----------------------------------
      Total |      4,454      100.00

. gen supp01 = (support-1)/5
(881 missing values generated)

. sum supp01 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      supp01 |      4,454    .4335878     .398587          0          1

.  
. gen treat = .
(5,335 missing values generated)

. replace treat = 5 if treatment == "union"
(753 real changes made)

. replace treat = 4 if treatment == "femin"
(791 real changes made)

. replace treat = 3 if treatment == "immig"
(806 real changes made)

. replace treat = 2 if treatment == "catalan"
(762 real changes made)

. replace treat = 1 if treatment == "franco"
(744 real changes made)

. replace treat = 0 if treatment == "prado"
(802 real changes made)

. 
. 
. lab def treatlbl 0 "Prado" 1 "Franco" 2 "Catalan" 3 "Immigration" 4 "Feminism" 5 "Unions"

. lab val treat treatlbl

. 
. tab treatment treat

           |                               treat
 Treatment |     Prado     Franco    Catalan  Immigrati   Feminism     Unions |     Total
-----------+------------------------------------------------------------------+----------
   catalan |         0          0        762          0          0          0 |       762 
     femin |         0          0          0          0        791          0 |       791 
    franco |         0        744          0          0          0          0 |       744 
     immig |         0          0          0        806          0          0 |       806 
     prado |       802          0          0          0          0          0 |       802 
     union |         0          0          0          0          0        753 |       753 
-----------+------------------------------------------------------------------+----------
     Total |       802        744        762        806        791        753 |     4,658 

. 
. 
. ** -----------------------
. ** Recode behavioural outcome
. 
. tab1 donate_nonamazon150 donate_nonamazon10  donate_amazon150 donate_amazon10 donate_amount150__15 donate_amount10_15 donate_amount175_15

-> tabulation of donate_nonamazon150  

     Donation from 150 |
         lottery prize |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |      1,416       81.33       81.33
Donaría algo de dinero |        325       18.67      100.00
-----------------------+-----------------------------------
                 Total |      1,741      100.00

-> tabulation of donate_nonamazon10  

      Donation from 10 |
         lottery prize |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |      1,331       77.65       77.65
Donaría algo de dinero |        383       22.35      100.00
-----------------------+-----------------------------------
                 Total |      1,714      100.00

-> tabulation of donate_amazon150  

     Donation from 150 |
        Amazon voucher |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |        195       72.49       72.49
Donaría algo de dinero |         74       27.51      100.00
-----------------------+-----------------------------------
                 Total |        269      100.00

-> tabulation of donate_amazon10  

      Donation from 10 |
        Amazon voucher |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |        169       79.34       79.34
Donaría algo de dinero |         44       20.66      100.00
-----------------------+-----------------------------------
                 Total |        213      100.00

-> tabulation of donate_amount150__15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          2        0.63        0.63
       2.00 |          1        0.32        0.95
       3.00 |          2        0.63        1.58
       5.00 |          9        2.84        4.42
       7.00 |          2        0.63        5.05
       9.00 |          3        0.95        5.99
      10.00 |         12        3.79        9.78
      11.00 |          3        0.95       10.73
      12.00 |          5        1.58       12.30
      13.00 |          5        1.58       13.88
      14.00 |          6        1.89       15.77
      15.00 |         21        6.62       22.40
      16.00 |          5        1.58       23.97
      17.00 |          2        0.63       24.61
      18.00 |          1        0.32       24.92
      19.00 |          1        0.32       25.24
      20.00 |         22        6.94       32.18
      21.00 |          3        0.95       33.12
      22.00 |          1        0.32       33.44
      25.00 |          9        2.84       36.28
      26.00 |          2        0.63       36.91
      27.00 |          1        0.32       37.22
      28.00 |          8        2.52       39.75
      29.00 |          7        2.21       41.96
      30.00 |         33       10.41       52.37
      31.00 |          6        1.89       54.26
      32.00 |          3        0.95       55.21
      33.00 |          1        0.32       55.52
      35.00 |          5        1.58       57.10
      36.00 |          1        0.32       57.41
      37.00 |          1        0.32       57.73
      38.00 |          1        0.32       58.04
      39.00 |          1        0.32       58.36
      40.00 |          6        1.89       60.25
      41.00 |          1        0.32       60.57
      42.00 |          3        0.95       61.51
      43.00 |          3        0.95       62.46
      44.00 |          4        1.26       63.72
      45.00 |          8        2.52       66.25
      46.00 |          2        0.63       66.88
      48.00 |          2        0.63       67.51
      49.00 |          1        0.32       67.82
      50.00 |         27        8.52       76.34
      51.00 |          2        0.63       76.97
      52.00 |          1        0.32       77.29
      53.00 |          1        0.32       77.60
      54.00 |          2        0.63       78.23
      55.00 |          2        0.63       78.86
      56.00 |          1        0.32       79.18
      57.00 |          1        0.32       79.50
      58.00 |          1        0.32       79.81
      59.00 |          1        0.32       80.13
      60.00 |         16        5.05       85.17
      61.00 |          3        0.95       86.12
      62.00 |          1        0.32       86.44
      64.00 |          1        0.32       86.75
      65.00 |          2        0.63       87.38
      70.00 |          1        0.32       87.70
      72.00 |          1        0.32       88.01
      73.00 |          2        0.63       88.64
      74.00 |          3        0.95       89.59
      75.00 |          7        2.21       91.80
      76.00 |          3        0.95       92.74
      77.00 |          1        0.32       93.06
      81.00 |          1        0.32       93.38
      89.00 |          1        0.32       93.69
      97.00 |          1        0.32       94.01
     100.00 |          3        0.95       94.95
     104.00 |          1        0.32       95.27
     106.00 |          1        0.32       95.58
     115.00 |          1        0.32       95.90
     143.00 |          1        0.32       96.21
     149.00 |          1        0.32       96.53
     150.00 |         11        3.47      100.00
------------+-----------------------------------
      Total |        317      100.00

-> tabulation of donate_amount10_15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          1        0.24        0.24
       1.00 |         47       11.35       11.59
       2.00 |         84       20.29       31.88
       3.00 |         82       19.81       51.69
       4.00 |         38        9.18       60.87
       5.00 |         90       21.74       82.61
       6.00 |          6        1.45       84.06
       7.00 |          5        1.21       85.27
       8.00 |         13        3.14       88.41
      10.00 |         48       11.59      100.00
------------+-----------------------------------
      Total |        414      100.00

-> tabulation of donate_amount175_15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          1        1.54        1.54
       4.00 |          3        4.62        6.15
       5.00 |          1        1.54        7.69
       8.00 |          1        1.54        9.23
      10.00 |          5        7.69       16.92
      11.00 |          1        1.54       18.46
      12.00 |          1        1.54       20.00
      16.00 |          3        4.62       24.62
      18.00 |          1        1.54       26.15
      20.00 |          4        6.15       32.31
      22.00 |          1        1.54       33.85
      25.00 |          3        4.62       38.46
      28.00 |          1        1.54       40.00
      32.00 |          1        1.54       41.54
      34.00 |          1        1.54       43.08
      35.00 |          2        3.08       46.15
      38.00 |          1        1.54       47.69
      40.00 |          2        3.08       50.77
      41.00 |          1        1.54       52.31
      45.00 |          1        1.54       53.85
      50.00 |          8       12.31       66.15
      51.00 |          4        6.15       72.31
      52.00 |          1        1.54       73.85
      69.00 |          1        1.54       75.38
      70.00 |          4        6.15       81.54
      73.00 |          1        1.54       83.08
      75.00 |          3        4.62       87.69
      90.00 |          1        1.54       89.23
      99.00 |          1        1.54       90.77
     127.00 |          1        1.54       92.31
     153.00 |          1        1.54       93.85
     175.00 |          4        6.15      100.00
------------+-----------------------------------
      Total |         65      100.00

. 
. gen don = .
(5,335 missing values generated)

. replace don = donate_nonamazon150 if donate_nonamazon150!=.
(1,741 real changes made)

. replace don = donate_nonamazon10 if donate_nonamazon10!=.
(1,714 real changes made)

. replace don = donate_amazon150 if donate_amazon150!=.
(269 real changes made)

. replace don = donate_amazon10 if donate_amazon10!=.
(213 real changes made)

. 
. 
. recode don (1=0 "No donation") (2=1 "Donate money"), gen(donate)
(3,937 differences between don and donate)

. drop don

. tab donate

   RECODE of |
         don |      Freq.     Percent        Cum.
-------------+-----------------------------------
 No donation |      3,111       79.02       79.02
Donate money |        826       20.98      100.00
-------------+-----------------------------------
       Total |      3,937      100.00

. 
. * Amount
. gen don_pc_10 = (donate_amount10_15 / 10)*100
(4,921 missing values generated)

. gen don_pc_150 = (donate_amount150__15 / 150)*100
(5,018 missing values generated)

. gen don_pc_175 = (donate_amount175_15 / 175)*100
(5,270 missing values generated)

. 
. sum don_pc_10 don_pc_150 don_pc_175

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   don_pc_10 |        414    41.49758     26.6931          0        100
  don_pc_150 |        317    26.69821     20.8982          0        100
  don_pc_175 |         65    27.96484    25.11766          0        100

. 
. gen amount_pc = .
(5,335 missing values generated)

. replace amount_pc = don_pc_10 if don_pc_10!=.
(414 real changes made)

. replace amount_pc = don_pc_150 if don_pc_150!=.
(317 real changes made)

. replace amount_pc = don_pc_175 if don_pc_175!=.
(65 real changes made)

. sum amount_pc

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   amount_pc |        796     34.4988     25.4519          0        100

. 
. gen amount150 = .
(5,335 missing values generated)

. replace amount150 = 0 if donate_amount10_15!=. 
(414 real changes made)

. replace amount150 = 1 if donate_amount150__15!=. | donate_amount175_15!=.
(382 real changes made)

. 
. ** -----------------------
. ** Recode observed outcomes
. 
. * democracy support
. 
. tab dembest

 Democracy preferred form of government |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
La democracia es preferible a cualquier |      3,797       88.94       88.94
En algunas circunstancias, un gobierno  |        337        7.89       96.84
Para las personas como yo, no importa s |        135        3.16      100.00
----------------------------------------+-----------------------------------
                                  Total |      4,269      100.00

. recode dembest (1=1) (2/3=0), gen(dembest_dum)
(472 differences between dembest and dembest_dum)

. tab dembest dembest_dum

                      |   RECODE of dembest
                      | (Democracy preferred
  Democracy preferred |  form of government)
   form of government |         0          1 |     Total
----------------------+----------------------+----------
La democracia es pref |         0      3,797 |     3,797 
En algunas circunstan |       337          0 |       337 
Para las personas com |       135          0 |       135 
----------------------+----------------------+----------
                Total |       472      3,797 |     4,269 

. recode dembest_dum (1=0) (0=1), gen(autoc_dum)
(4,269 differences between dembest_dum and autoc_dum)

. 
. 
. tab demimp

   How important to |
  live in democracy |      Freq.     Percent        Cum.
--------------------+-----------------------------------
 1 - Muy importante |      3,631       83.11       83.11
                  2 |        272        6.23       89.33
                  3 |        120        2.75       92.08
                  4 |        116        2.66       94.74
                  5 |         86        1.97       96.70
                  6 |         66        1.51       98.21
7 - Nada importante |         78        1.79      100.00
--------------------+-----------------------------------
              Total |      4,369      100.00

. gen demimp01 = (demimp-1)/6
(966 missing values generated)

. sum demimp01

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    demimp01 |      4,369    .0763714    .2066111          0          1

. 
. 
. * Immigration
. tab imm

    Attitude towards |
         immigration |      Freq.     Percent        Cum.
---------------------+-----------------------------------
 1 - Peor para vivir |        459       10.72       10.72
                   2 |        163        3.81       14.53
                   3 |        318        7.43       21.95
                   4 |        677       15.81       37.76
                   5 |        695       16.23       53.99
                   6 |        541       12.63       66.63
7 - Mejor para vivir |      1,429       33.37      100.00
---------------------+-----------------------------------
               Total |      4,282      100.00

. 
. * Populism
. tab1  Q14_1 Q14_4

-> tabulation of Q14_1  

   Agree with politicians need to |
        follow will of the people |      Freq.     Percent        Cum.
----------------------------------+-----------------------------------
Estoy completamente en desacuerdo |        422        9.80        9.80
     Tiendo a estar en desacuerdo |        137        3.18       12.99
   Ni de acuerdo ni en desacuerdo |        189        4.39       17.38
        Tiendo a estar de acuerdo |      1,068       24.81       42.19
   Estoy completamente de acuerdo |      2,488       57.81      100.00
----------------------------------+-----------------------------------
                            Total |      4,304      100.00

-> tabulation of Q14_4  

        Agree with people and not |
politicians should take important |
                        decisions |      Freq.     Percent        Cum.
----------------------------------+-----------------------------------
Estoy completamente en desacuerdo |        541       12.62       12.62
     Tiendo a estar en desacuerdo |        729       17.00       29.62
   Ni de acuerdo ni en desacuerdo |        668       15.58       45.21
        Tiendo a estar de acuerdo |      1,296       30.23       75.44
   Estoy completamente de acuerdo |      1,053       24.56      100.00
----------------------------------+-----------------------------------
                            Total |      4,287      100.00

. corr Q14_1 Q14_4
(obs=4,254)

             |    Q14_1    Q14_4
-------------+------------------
       Q14_1 |   1.0000
       Q14_4 |   0.3658   1.0000


. alpha Q14_1 Q14_4

Test scale = mean(unstandardized items)

Average interitem covariance:     .6211008
Number of items in the scale:            2
Scale reliability coefficient:      0.5325

. 
. egen populism = rowmean(Q14_1 Q14_4)
(998 missing values generated)

. sum populism

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    populism |      4,337    3.772193     1.09125          1          5

. 
. * Nationalism
. tab nationalism

                 National pride |      Freq.     Percent        Cum.
--------------------------------+-----------------------------------
           1 - Nada orgulloso/a |        414        9.57        9.57
                              2 |        220        5.09       14.66
                              3 |        277        6.41       21.07
                              4 |        426        9.85       30.92
                              5 |        525       12.14       43.06
                              6 |        436       10.08       53.15
            7 - Muy orgulloso/a |      1,943       44.94       98.08
No soy un ciudadano/a español/a |         83        1.92      100.00
--------------------------------+-----------------------------------
                          Total |      4,324      100.00

. tab nationalism, nolabel

   National |
      pride |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        414        9.57        9.57
          2 |        220        5.09       14.66
          3 |        277        6.41       21.07
          4 |        426        9.85       30.92
          5 |        525       12.14       43.06
          6 |        436       10.08       53.15
          7 |      1,943       44.94       98.08
          8 |         83        1.92      100.00
------------+-----------------------------------
      Total |      4,324      100.00

. recode nationalism (8=.)
(83 changes made to nationalism)

. 
. 
. ** -----------------------
. ** Recode control variables
. 
. * gender
. tab gender

           Gender |      Freq.     Percent        Cum.
------------------+-----------------------------------
           Hombre |      2,854       59.69       59.69
            Mujer |      1,909       39.93       99.62
             Otro |         18        0.38      100.00
------------------+-----------------------------------
            Total |      4,781      100.00

. tab gender, nolabel

     Gender |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,854       59.69       59.69
          2 |      1,909       39.93       99.62
          3 |         18        0.38      100.00
------------+-----------------------------------
      Total |      4,781      100.00

. recode gender (1=0 "male") (2=1 "female") (3=0), gen(female) 
(4,781 differences between gender and female)

. 
. * education 
. tab education

   Education |      Freq.     Percent        Cum.
-------------+-----------------------------------
No education |          9        0.18        0.18
     Primary |        336        6.76        6.94
   Secondary |      1,068       21.47       28.41
  University |      2,433       48.91       77.32
  Vocational |      1,046       21.03       98.35
       Other |         82        1.65      100.00
-------------+-----------------------------------
       Total |      4,974      100.00

. tab education, nolabel

  Education |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          9        0.18        0.18
          2 |        336        6.76        6.94
          3 |      1,068       21.47       28.41
          4 |      2,433       48.91       77.32
          5 |      1,046       21.03       98.35
          6 |         82        1.65      100.00
------------+-----------------------------------
      Total |      4,974      100.00

. 
. recode education (1/2=0 "No/primary") (3=1 "secondary") (4=3 "degree") (5=2 "vocational") (6=4 "Other"), gen(educ)
(4,974 differences between education and educ)

. 
. * income
. tab income

                            Income |      Freq.     Percent        Cum.
-----------------------------------+-----------------------------------
No tiene/n ingresos de ningún tipo |         60        1.53        1.53
              Menos o igual a 300€ |         55        1.40        2.93
                     De 301 a 600€ |        173        4.40        7.33
                     De 601 a 900€ |        288        7.33       14.66
                   De 901 a 1.200€ |        551       14.02       28.68
                 De 1.201 a 1.800€ |        871       22.16       50.84
                 De 1.801 a 2.400€ |        763       19.41       70.25
                 De 2.401 a 3.000€ |        507       12.90       83.16
                 De 3.001 a 4.500€ |        454       11.55       94.71
                 De 4.501 a 6.000€ |        147        3.74       98.45
                     Más de 6.000€ |         61        1.55      100.00
-----------------------------------+-----------------------------------
                             Total |      3,930      100.00

. 
. * polint
. tab polint 

  Political |
   interest |      Freq.     Percent        Cum.
------------+-----------------------------------
       Nada |        121        2.59        2.59
       Poco |        522       11.17       13.75
   Bastante |      2,124       45.43       59.19
      Mucho |      1,908       40.81      100.00
------------+-----------------------------------
      Total |      4,675      100.00

. 
. * age
. tab age

        Age |      Freq.     Percent        Cum.
------------+-----------------------------------
         18 |        128        2.63        2.63
         19 |         78        1.60        4.24
         20 |         63        1.30        5.53
         21 |         59        1.21        6.75
         22 |         63        1.30        8.04
         23 |         50        1.03        9.07
         24 |         64        1.32       10.39
         25 |         56        1.15       11.54
         26 |         73        1.50       13.04
         27 |         75        1.54       14.59
         28 |         75        1.54       16.13
         29 |         77        1.58       17.71
         30 |         71        1.46       19.17
         31 |         79        1.63       20.80
         32 |         83        1.71       22.51
         33 |         74        1.52       24.03
         34 |         72        1.48       25.51
         35 |         48        0.99       26.50
         36 |         44        0.91       27.40
         37 |         45        0.93       28.33
         38 |         45        0.93       29.25
         39 |         49        1.01       30.26
         40 |         66        1.36       31.62
         41 |         55        1.13       32.75
         42 |         68        1.40       34.15
         43 |         56        1.15       35.30
         44 |         57        1.17       36.47
         45 |         93        1.91       38.39
         46 |         85        1.75       40.14
         47 |         91        1.87       42.01
         48 |         90        1.85       43.86
         49 |        104        2.14       46.00
         50 |        142        2.92       48.92
         51 |        101        2.08       51.00
         52 |        121        2.49       53.49
         53 |        115        2.37       55.85
         54 |        151        3.11       58.96
         55 |        122        2.51       61.47
         56 |        106        2.18       63.65
         57 |        133        2.74       66.39
         58 |        127        2.61       69.00
         59 |        139        2.86       71.86
         60 |        169        3.48       75.33
         61 |        102        2.10       77.43
         62 |        108        2.22       79.65
         63 |        118        2.43       82.08
         64 |        104        2.14       84.22
         79 |        139        2.86       87.08
         80 |        122        2.51       89.59
         81 |         84        1.73       91.32
         82 |         61        1.25       92.57
         83 |         89        1.83       94.40
         84 |         59        1.21       95.62
         85 |         43        0.88       96.50
         86 |         37        0.76       97.26
         87 |         35        0.72       97.98
         88 |         37        0.76       98.75
         89 |         26        0.53       99.28
         90 |         15        0.31       99.59
         91 |         20        0.41      100.00
------------+-----------------------------------
      Total |      4,861      100.00

. 
. capture drop birth

. gen birth = 2021-age
(474 missing values generated)

. 
. * domicile
. tab domicile

                      Domicile |      Freq.     Percent        Cum.
-------------------------------+-----------------------------------
               Una gran ciudad |      1,557       31.37       31.37
Las afueras de una gran ciudad |        607       12.23       43.60
            Una ciudad pequeña |      1,948       39.25       82.85
Un pueblo o granja en el campo |        851       17.15      100.00
-------------------------------+-----------------------------------
                         Total |      4,963      100.00

. 
. 
. *-------------------
. *** AD CAMPAIGNS
. 
. tab utm_campaign

       Social media ad recruitment type |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
               Spain 2022: 10 Euros new |        277        5.25        5.25
              Spain 2022: 175 Euros new |        392        7.43       12.68
                  Spain 2022: Amazon 10 |         27        0.51       13.19
                 Spain 2022: Amazon 150 |         46        0.87       14.06
                       Spain 2022: base |         86        1.63       15.69
                   Spain 2022: base new |        296        5.61       21.30
              Spain 2022: no incentives |      3,578       67.79       89.09
Spain 2022: political image 3 additio.. |        576       10.91      100.00
----------------------------------------+-----------------------------------
                                  Total |      5,278      100.00

. tab utm_campaign, nolabel

       Social media ad recruitment type |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
               Spain 2022: 10 Euros new |        277        5.25        5.25
              Spain 2022: 175 Euros new |        392        7.43       12.68
                  Spain 2022: Amazon 10 |         27        0.51       13.19
                 Spain 2022: Amazon 150 |         46        0.87       14.06
                       Spain 2022: base |         86        1.63       15.69
                   Spain 2022: base new |        296        5.61       21.30
              Spain 2022: no incentives |      3,578       67.79       89.09
Spain 2022: political image 3 additio.. |        576       10.91      100.00
----------------------------------------+-----------------------------------
                                  Total |      5,278      100.00

. 
. capture drop ads

. 
. gen ads = 0 if utm_campaign=="Spain 2022: base new" | utm_campaign=="Spain 2022: base"
(4,953 missing values generated)

. replace ads = 1 if utm_campaign=="Spain 2022: no incentives" | utm_campaign=="Spain 2022: political image 3 additional"
(4,154 real changes made)

. replace ads = 2 if utm_campaign=="Spain 2022: Amazon 10" | utm_campaign=="Spain 2022: 10 Euros new"
(304 real changes made)

. replace ads = 3 if utm_campaign=="Spain 2022: Amazon 150" | utm_campaign=="Spain 2022: 175 Euros new"
(438 real changes made)

.  
. lab def adlbl 0 "Base" 1 "No incentives" 2 "Incentives: low" 3 "Incentives: high" 

. lab val ads adlbl

. 
. tab utm_campaign ads 

      Social media ad |                     ads
     recruitment type |      Base  No incent  Incentive  Incentive |     Total
----------------------+--------------------------------------------+----------
Spain 2022: 10 Euro.. |         0          0        277          0 |       277 
Spain 2022: 175 Eur.. |         0          0          0        392 |       392 
Spain 2022: Amazon 10 |         0          0         27          0 |        27 
Spain 2022: Amazon .. |         0          0          0         46 |        46 
     Spain 2022: base |        86          0          0          0 |        86 
 Spain 2022: base new |       296          0          0          0 |       296 
Spain 2022: no ince.. |         0      3,578          0          0 |     3,578 
Spain 2022: politic.. |         0        576          0          0 |       576 
----------------------+--------------------------------------------+----------
                Total |       382      4,154        304        438 |     5,278 

. 
. 
. *-------------------
. *** SAVE RECODED DATA
. 
. save "Spain_Vox_recoded.dta", replace
file Spain_Vox_recoded.dta saved

. 
. 
. 
. 
end of do-file

. 
. ** Call prepared data
. use "Spain_Vox_recoded.dta", clear

. 
. *-------------------
. *** Defining globals
. 
. global controls age female i.educ polint income i.b4.domicile

. global vox  vote_3 vox_sup vote_vox_right

. global ptv ptv_1 ptv_2 ptv_3 ptv_4 ptv_5

. global outcomes_main support donate

. global outcomes demimp01 autoc_dum 

. 
. *-------------------
. *** APPENDIX 1: Facebook ads
. 
. // Table A.1: Number of respondents recruited by each ad, by VOX support
. tab ads vox_sup, col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

                 |        vox_sup
             ads |         0          1 |     Total
-----------------+----------------------+----------
            Base |       285         49 |       334 
                 |      8.01       4.32 |      7.12 
-----------------+----------------------+----------
   No incentives |     2,802        939 |     3,741 
                 |     78.77      82.80 |     79.75 
-----------------+----------------------+----------
 Incentives: low |       199         60 |       259 
                 |      5.59       5.29 |      5.52 
-----------------+----------------------+----------
Incentives: high |       271         86 |       357 
                 |      7.62       7.58 |      7.61 
-----------------+----------------------+----------
           Total |     3,557      1,134 |     4,691 
                 |    100.00     100.00 |    100.00 

. 
. 
. *-------------------
. *** APPENDIX 2: CHECKING FOR NUMBERS OF COMPLETED SURVETS
. 
. // Table A.2: Finished at least 90% of survey, which includes all relevant questions
. sum Progress

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |      5,335    87.52502    27.37426          9        100

. tab treat vox_sup if Progress>90

            |        vox_sup
      treat |         0          1 |     Total
------------+----------------------+----------
      Prado |       560        169 |       729 
     Franco |       496        179 |       675 
    Catalan |       526        169 |       695 
Immigration |       527        178 |       705 
   Feminism |       536        178 |       714 
     Unions |       535        143 |       678 
------------+----------------------+----------
      Total |     3,180      1,016 |     4,196 

. tab treat vote_3 if Progress>90

            |     vote2019==Vox
      treat |         0          1 |     Total
------------+----------------------+----------
      Prado |       632         97 |       729 
     Franco |       586         88 |       674 
    Catalan |       607         93 |       700 
Immigration |       598        110 |       708 
   Feminism |       614        104 |       718 
     Unions |       608         74 |       682 
------------+----------------------+----------
      Total |     3,645        566 |     4,211 

. 
. 
. ** Additional 
. tab Finished vox_sup, col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

  Finished |        vox_sup
    survey |         0          1 |     Total
-----------+----------------------+----------
     False |       545        174 |       719 
           |     15.18      15.08 |     15.15 
-----------+----------------------+----------
      True |     3,046        980 |     4,026 
           |     84.82      84.92 |     84.85 
-----------+----------------------+----------
     Total |     3,591      1,154 |     4,745 
           |    100.00     100.00 |    100.00 

. 
. tab treat vox_sup if Finished==1

            |        vox_sup
      treat |         0          1 |     Total
------------+----------------------+----------
      Prado |       533        164 |       697 
     Franco |       483        170 |       653 
    Catalan |       496        163 |       659 
Immigration |       505        171 |       676 
   Feminism |       518        172 |       690 
     Unions |       511        140 |       651 
------------+----------------------+----------
      Total |     3,046        980 |     4,026 

. tab treat Finished, row

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

            |    Finished survey
      treat |     False       True |     Total
------------+----------------------+----------
      Prado |       102        700 |       802 
            |     12.72      87.28 |    100.00 
------------+----------------------+----------
     Franco |        86        658 |       744 
            |     11.56      88.44 |    100.00 
------------+----------------------+----------
    Catalan |        96        666 |       762 
            |     12.60      87.40 |    100.00 
------------+----------------------+----------
Immigration |       122        684 |       806 
            |     15.14      84.86 |    100.00 
------------+----------------------+----------
   Feminism |        93        698 |       791 
            |     11.76      88.24 |    100.00 
------------+----------------------+----------
     Unions |        92        661 |       753 
            |     12.22      87.78 |    100.00 
------------+----------------------+----------
      Total |       591      4,067 |     4,658 
            |     12.69      87.31 |    100.00 

. bys vox_sup: tab treat Finished, row

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = 0

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

            |    Finished survey
      treat |     False       True |     Total
------------+----------------------+----------
      Prado |        77        533 |       610 
            |     12.62      87.38 |    100.00 
------------+----------------------+----------
     Franco |        59        483 |       542 
            |     10.89      89.11 |    100.00 
------------+----------------------+----------
    Catalan |        71        496 |       567 
            |     12.52      87.48 |    100.00 
------------+----------------------+----------
Immigration |        89        505 |       594 
            |     14.98      85.02 |    100.00 
------------+----------------------+----------
   Feminism |        72        518 |       590 
            |     12.20      87.80 |    100.00 
------------+----------------------+----------
     Unions |        76        511 |       587 
            |     12.95      87.05 |    100.00 
------------+----------------------+----------
      Total |       444      3,046 |     3,490 
            |     12.72      87.28 |    100.00 

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = 1

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

            |    Finished survey
      treat |     False       True |     Total
------------+----------------------+----------
      Prado |        23        164 |       187 
            |     12.30      87.70 |    100.00 
------------+----------------------+----------
     Franco |        25        170 |       195 
            |     12.82      87.18 |    100.00 
------------+----------------------+----------
    Catalan |        22        163 |       185 
            |     11.89      88.11 |    100.00 
------------+----------------------+----------
Immigration |        30        171 |       201 
            |     14.93      85.07 |    100.00 
------------+----------------------+----------
   Feminism |        20        172 |       192 
            |     10.42      89.58 |    100.00 
------------+----------------------+----------
     Unions |        15        140 |       155 
            |      9.68      90.32 |    100.00 
------------+----------------------+----------
      Total |       135        980 |     1,115 
            |     12.11      87.89 |    100.00 

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = .

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

            |    Finished survey
      treat |     False       True |     Total
------------+----------------------+----------
      Prado |         2          3 |         5 
            |     40.00      60.00 |    100.00 
------------+----------------------+----------
     Franco |         2          5 |         7 
            |     28.57      71.43 |    100.00 
------------+----------------------+----------
    Catalan |         3          7 |        10 
            |     30.00      70.00 |    100.00 
------------+----------------------+----------
Immigration |         3          8 |        11 
            |     27.27      72.73 |    100.00 
------------+----------------------+----------
   Feminism |         1          8 |         9 
            |     11.11      88.89 |    100.00 
------------+----------------------+----------
     Unions |         1         10 |        11 
            |      9.09      90.91 |    100.00 
------------+----------------------+----------
      Total |        12         41 |        53 
            |     22.64      77.36 |    100.00 


. 
. bys vox_sup: sum Progress

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |      3,591    95.67669    13.10591         26        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |      1,154    95.45494    13.62954         26        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        590        22.4    24.46978          9        100


. bys treat: sum Progress

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Prado

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        802    97.61097    7.511175         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Franco

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        744    97.52957    7.971969         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Catalan

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        762    97.84121    6.889382         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Immigration

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        806     96.6129     9.43044         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Feminism

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        791    97.61315     7.62355         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Unions

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        753    97.52324    7.904672         53        100

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    Progress |        677    19.24372    11.41749          9         48


. 
. 
. 
. ** ----------------------------------------------------
. ** APPENDIX 3: DESCRIPTIVES
. 
. // Table A.3: Summary descriptives of all variables
. sum $vox $ptv $outcomes_main $outcomes $controls 

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
      vote_3 |      4,704    .1375425    .3444558          0          1
     vox_sup |      4,745    .2432034    .4290621          0          1
vote_vox_r~t |      1,402    .4614836    .4986922          0          1
       ptv_1 |      4,723    4.186322    3.088557          1         10
       ptv_2 |      4,745    2.930664    2.770531          1         10
-------------+---------------------------------------------------------
       ptv_3 |      4,745    3.109168    3.345212          1         10
       ptv_4 |      4,741    2.181396    2.034201          1         10
       ptv_5 |      4,734    4.654837    3.599364          1         10
     support |      4,454    3.167939    1.992935          1          6
      donate |      3,937    .2098044    .4072206          0          1
-------------+---------------------------------------------------------
    demimp01 |      4,369    .0763714    .2066111          0          1
   autoc_dum |      4,269    .1105645    .3136289          0          1
         age |      4,861    48.06645     15.7159         18         77
      female |      4,781    .3992889    .4898035          0          1
             |
        educ |
 No/primary  |      4,974    .0693607     .254092          0          1
-------------+---------------------------------------------------------
  secondary  |      4,974    .2147165    .4106668          0          1
 vocational  |      4,974    .2102935     .407558          0          1
     degree  |      4,974    .4891435    .4999324          0          1
      Other  |      4,974    .0164857    .1273468          0          1
             |
      polint |      4,675    3.244706    .7507031          1          4
-------------+---------------------------------------------------------
      income |      3,930    6.474809    1.986721          1         11
             |
    domicile |
Una gran ..  |      4,963    .3137215    .4640514          0          1
Las afuer..  |      4,963    .1223051    .3276708          0          1
Una ciuda..  |      4,963    .3925045    .4883572          0          1

. sum i.domicile

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
    domicile |
Una gran ..  |      4,963    .3137215    .4640514          0          1
Las afuer..  |      4,963    .1223051    .3276708          0          1
Una ciuda..  |      4,963    .3925045    .4883572          0          1
Un pueblo..  |      4,963    .1714689    .3769561          0          1

. 
. 
. // Figure A.2: Support for public funds by VOX-support by treatment
. ** Descriptively explore support variable 
. 
. bys treat vox_sup: sum support

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Prado, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        570    3.978947    1.655659          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Prado, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        176    3.096591    1.797392          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Prado, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          3           2           1          1          3

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Franco, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        530    1.264151    .8509073          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Franco, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        180    2.944444      1.7992          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Franco, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          6         2.5    1.974842          1          5

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Catalan, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        522    3.003831    1.821177          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Catalan, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        182    1.230769    .7294427          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Catalan, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          8       1.125    .3535534          1          2

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Immigration, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        583    4.801029    1.559209          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Immigration, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        186    2.086022     1.46421          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Immigration, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |         11           3    1.843909          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Feminism, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        569    4.325132    1.816809          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Feminism, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        192    1.421875     .967612          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Feminism, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          9    2.111111    1.763834          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Unions, vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        567    3.650794    1.814185          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Unions, vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        153    1.398693    1.015277          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = Unions, vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          7    2.571429    1.902379          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = ., vox_sup = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          0

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = ., vox_sup = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          0

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> treat = ., vox_sup = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          0


. 
. 
. ** Prado
. twoway(kdensity support if treat==0 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==0 & vox_sup==0, lc(gs6) lp(dash)), xline(3.1, lc(bla
> ck) lp(solid)) xline(4.0, lc(gs6) lp(dash)) title("Museum Prado Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(med
> small)) ytitle(, size(medsmall)) legend(off) name(prado, replace)

. 
. ** Franco
. twoway(kdensity support if treat==1 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==1 & vox_sup==0, lc(gs6) lp(dash)), xline(2.9, lc(bla
> ck) lp(solid)) xline(1.3, lc(gs6) lp(dash)) title("Franco Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(medsmall)
> ) ytitle(, size(medsmall)) legend(lab(1 "VOX supporters") lab(2 "Non-VOX supporters") size(medlarge) order(1 2) row(1) region(lcolor(white)) pos(2) ri
> ng(0)) name(franco, replace)

. 
. 
. * Catalan
. twoway(kdensity support if treat==2 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==2 & vox_sup==0, lc(gs6) lp(dash)), xline(1.2, lc(bla
> ck) lp(solid)) xline(3.0, lc(gs6) lp(dash)) title("Pro-Catalan Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(meds
> mall)) ytitle(, size(medsmall)) legend(off) name(catalan, replace)

. 
. * Immigration
. twoway(kdensity support if treat==3 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==3 & vox_sup==0, lc(gs6) lp(dash)), xline(2.1, lc(bla
> ck) lp(solid)) xline(4.8, lc(gs6) lp(dash)) title("Pro-Immigration Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(
> medsmall)) ytitle(, size(medsmall)) legend(off) name(immig, replace)

. 
. * Feminism
. twoway(kdensity support if treat==4 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==4 & vox_sup==0, lc(gs6) lp(dash)), xline(1.4, lc(bla
> ck) lp(solid)) xline(4.3, lc(gs6) lp(dash)) title("Pro-Feminism Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(med
> small)) ytitle(, size(medsmall)) legend(off) name(femin, replace)

. 
. * Union
. twoway(kdensity support if treat==5 & vox_sup==1, lc(black) lp(solid))(kdensity support if treat==5 & vox_sup==0, lc(gs6) lp(dash)), xline(1.4, lc(bla
> ck) lp(solid)) xline(3.7, lc(gs6) lp(dash)) title("Pro-Trade Union Foundation", size(large)) xtitle(" ") ylabel(, labsize(medlarge)) xlabel(, labsize(
> medsmall)) ytitle(, size(medsmall)) legend(off) name(union, replace)

. 
. graph combine prado franco catalan immig femin union //, xsize(10) ysize(5)

. graph save  "${graphs}FigureA.2_support_descriptive.gph",  replace
(file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.2_support_descriptive.gph not found)
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.2_support_descriptive.gph saved

. graph export  "${graphs}FigureA.2_support_descriptive.pdf", as(pdf) replace
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.2_support_descriptive.pdf saved as PDF format

. 
. 
. 
. // Figure A.3: Distribution of Vote Intention for VOX
. 
. tab ptv_3

    PTV: VOX |      Freq.     Percent        Cum.
-------------+-----------------------------------
   1 - nunca |      3,163       66.66       66.66
           2 |        133        2.80       69.46
           3 |         70        1.48       70.94
           4 |         62        1.31       72.24
           5 |        163        3.44       75.68
           6 |         96        2.02       77.70
           7 |        151        3.18       80.89
           8 |        199        4.19       85.08
           9 |        254        5.35       90.43
10 - siempre |        454        9.57      100.00
-------------+-----------------------------------
       Total |      4,745      100.00

. hist ptv_3, xlabel(1(1)10) percent
(bin=36, start=1, width=.25)

. graph save  "${graphs}FigureA.3_VOX-PTV.gph",  replace
(file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.3_VOX-PTV.gph not found)
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.3_VOX-PTV.gph saved

. graph export  "${graphs}FigureA.3_VOX-PTV.pdf", as(pdf) replace
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.3_VOX-PTV.pdf saved as PDF format

. 
. 
. ** ----------------------------------------
. ** APPENDIX 4: Balance test
. 
. capture erase "${results}TableA.4_Results_balance.xls"

. capture erase "${results}TableA.4_Results_balance.txt"

. 
. capture erase "${results}TableA.5_Results_balance.xls"

. capture erase "${results}TableA.5_Results_balance.txt"

. 
. capture erase "${results}TableA.6_Results_balance.xls"

. capture erase "${results}TableA.6_Results_balance.txt"

. 
. capture erase "${results}TableA.7_Results_balance.xls"

. capture erase "${results}TableA.7_Results_balance.txt"

. 
. capture erase "${results}TableA.8_Results_balance.xls"

. capture erase "${results}TableA.8_Results_balance.txt"

. 
. // Table A.4: Balance test: Full sample
. 
. 
. mlogit treat $controls, base(0)

Iteration 0:  Log likelihood = -6621.4398  
Iteration 1:  Log likelihood = -6594.7594  
Iteration 2:  Log likelihood = -6594.6491  
Iteration 3:  Log likelihood =  -6594.649  

Multinomial logistic regression                         Number of obs =  3,696
                                                        LR chi2(55)   =  53.58
                                                        Prob > chi2   = 0.5290
Log likelihood = -6594.649                              Pseudo R2     = 0.0040

-------------------------------------------------------------------------------------------------
                          treat | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
Prado                           |  (base outcome)
--------------------------------+----------------------------------------------------------------
Franco                          |
                            age |   .0000449   .0037271     0.01   0.990    -.0072601    .0073498
                         female |  -.0137915   .1174909    -0.12   0.907    -.2440695    .2164864
                                |
                           educ |
                     secondary  |   .1612989   .2782282     0.58   0.562    -.3840184    .7066162
                    vocational  |   .3072974    .278943     1.10   0.271    -.2394208    .8540156
                        degree  |   .3240606   .2693037     1.20   0.229    -.2037649    .8518862
                         Other  |   .0740252    .562379     0.13   0.895    -1.028217    1.176268
                                |
                         polint |   .1607804   .0810834     1.98   0.047     .0018597     .319701
                         income |  -.0069064   .0310066    -0.22   0.824    -.0676783    .0538655
                                |
                       domicile |
               Una gran ciudad  |    .134387   .1681387     0.80   0.424    -.1951588    .4639328
Las afueras de una gran ciudad  |   .0049258   .2102632     0.02   0.981    -.4071826    .4170341
            Una ciudad pequeña  |  -.0761796   .1646438    -0.46   0.644    -.3988755    .2465162
                                |
                          _cons |  -.8051903   .4343913    -1.85   0.064    -1.656582    .0462009
--------------------------------+----------------------------------------------------------------
Catalan                         |
                            age |    .000537   .0037559     0.14   0.886    -.0068244    .0078984
                         female |  -.0890731   .1183086    -0.75   0.452    -.3209538    .1428076
                                |
                           educ |
                     secondary  |  -.2089114   .2571448    -0.81   0.417    -.7129059    .2950831
                    vocational  |  -.1018755   .2582917    -0.39   0.693     -.608118     .404367
                        degree  |  -.0756215   .2478242    -0.31   0.760    -.5613479     .410105
                         Other  |   .1465856   .5027867     0.29   0.771    -.8388582    1.132029
                                |
                         polint |   .0035228   .0796079     0.04   0.965    -.1525058    .1595513
                         income |   .0148747   .0313043     0.48   0.635    -.0464806    .0762299
                                |
                       domicile |
               Una gran ciudad  |   .0317032   .1726772     0.18   0.854    -.3067378    .3701443
Las afueras de una gran ciudad  |   .0627014   .2117425     0.30   0.767    -.3523063    .4777091
            Una ciudad pequeña  |    .138685   .1646467     0.84   0.400    -.1840165    .4613866
                                |
                          _cons |  -.1286402   .4179117    -0.31   0.758    -.9477321    .6904517
--------------------------------+----------------------------------------------------------------
Immigration                     |
                            age |  -.0025623   .0037334    -0.69   0.493    -.0098795    .0047549
                         female |   .0253218   .1172381     0.22   0.829    -.2044606    .2551041
                                |
                           educ |
                     secondary  |  -.3434117   .2477311    -1.39   0.166    -.8289559    .1421324
                    vocational  |  -.1279821    .247509    -0.52   0.605     -.613091    .3571267
                        degree  |  -.2913119   .2391976    -1.22   0.223    -.7601306    .1775068
                         Other  |  -.6614158   .5697742    -1.16   0.246    -1.778153    .4553211
                                |
                         polint |   .1106324   .0797112     1.39   0.165    -.0455987    .2668634
                         income |  -.0461907   .0309827    -1.49   0.136    -.1069157    .0145343
                                |
                       domicile |
               Una gran ciudad  |  -.0199755   .1738313    -0.11   0.909    -.3606785    .3207276
Las afueras de una gran ciudad  |   .1907622   .2091497     0.91   0.362    -.2191637     .600688
            Una ciudad pequeña  |   .2378732   .1632819     1.46   0.145    -.0821534    .5578998
                                |
                          _cons |   .1436492   .4115174     0.35   0.727      -.66291    .9502085
--------------------------------+----------------------------------------------------------------
Feminism                        |
                            age |  -.0014747   .0037036    -0.40   0.690    -.0087336    .0057841
                         female |  -.0574609   .1167563    -0.49   0.623     -.286299    .1713772
                                |
                           educ |
                     secondary  |  -.2669039   .2482673    -1.08   0.282     -.753499    .2196911
                    vocational  |  -.2394541   .2505771    -0.96   0.339    -.7305761    .2516679
                        degree  |  -.2626268   .2402749    -1.09   0.274     -.733557    .2083033
                         Other  |  -.3383407   .5323635    -0.64   0.525    -1.381754    .7050727
                                |
                         polint |    .035808   .0788427     0.45   0.650    -.1187208    .1903368
                         income |   .0249809   .0309463     0.81   0.420    -.0356728    .0856345
                                |
                       domicile |
               Una gran ciudad  |    .004906   .1704134     0.03   0.977    -.3290981    .3389101
Las afueras de una gran ciudad  |   .0470379   .2089754     0.23   0.822    -.3625464    .4566222
            Una ciudad pequeña  |   .1461812   .1619275     0.90   0.367    -.1711908    .4635532
                                |
                          _cons |  -.0203403   .4103841    -0.05   0.960    -.8246784    .7839978
--------------------------------+----------------------------------------------------------------
Unions                          |
                            age |    .000864    .003753     0.23   0.818    -.0064918    .0082198
                         female |  -.1537764    .118902    -1.29   0.196      -.38682    .0792672
                                |
                           educ |
                     secondary  |  -.1103845   .2609266    -0.42   0.672    -.6217912    .4010222
                    vocational  |  -.0616905   .2631507    -0.23   0.815    -.5774564    .4540754
                        degree  |   .0881731    .251357     0.35   0.726    -.4044776    .5808238
                         Other  |   .3110712     .49733     0.63   0.532    -.6636777     1.28582
                                |
                         polint |    .074314   .0804511     0.92   0.356    -.0833672    .2319952
                         income |  -.0319761   .0311615    -1.03   0.305    -.0930516    .0290994
                                |
                       domicile |
               Una gran ciudad  |   .1063114   .1729412     0.61   0.539    -.2326471    .4452699
Las afueras de una gran ciudad  |  -.0587985   .2182844    -0.27   0.788     -.486628     .369031
            Una ciudad pequeña  |   .1919865    .165361     1.16   0.246    -.1321151    .5160882
                                |
                          _cons |  -.1949072   .4222181    -0.46   0.644    -1.022439    .6326252
-------------------------------------------------------------------------------------------------

.         estimates store M1_all

. outreg2  using "${results}TableA.4_Results_balance.xls", ///
> bracket bdec(3) sdec(3) append
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.4_Results_balance.xls
dir : seeout

. 
. // Table A.5: Balance test: VOX voters
. 
. mlogit treat $controls  if vote_3==1, base(0)

Iteration 0:  Log likelihood = -910.73141  
Iteration 1:  Log likelihood = -890.53881  
Iteration 2:  Log likelihood = -889.80328  
Iteration 3:  Log likelihood = -889.66446  
Iteration 4:  Log likelihood = -889.63942  
Iteration 5:  Log likelihood = -889.63381  
Iteration 6:  Log likelihood = -889.63251  
Iteration 7:  Log likelihood = -889.63221  
Iteration 8:  Log likelihood = -889.63215  
Iteration 9:  Log likelihood = -889.63214  

Multinomial logistic regression                         Number of obs =    511
                                                        LR chi2(55)   =  42.20
                                                        Prob > chi2   = 0.8972
Log likelihood = -889.63214                             Pseudo R2     = 0.0232

-------------------------------------------------------------------------------------------------
                          treat | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
Prado                           |  (base outcome)
--------------------------------+----------------------------------------------------------------
Franco                          |
                            age |    .010339   .0110956     0.93   0.351     -.011408     .032086
                         female |   .0954819   .3400321     0.28   0.779    -.5709687    .7619325
                                |
                           educ |
                     secondary  |   .0860219   .7268891     0.12   0.906    -1.338655    1.510698
                    vocational  |   .3997494   .7285732     0.55   0.583    -1.028228    1.827727
                        degree  |   .4406195   .7126452     0.62   0.536    -.9561394    1.837378
                         Other  |   .3404419   1.209712     0.28   0.778     -2.03055    2.711434
                                |
                         polint |  -.0473005   .2281003    -0.21   0.836    -.4943688    .3997678
                         income |   .0262294   .0847539     0.31   0.757    -.1398852    .1923439
                                |
                       domicile |
               Una gran ciudad  |  -.9250687   .4869969    -1.90   0.057    -1.879565    .0294277
Las afueras de una gran ciudad  |  -.3981186   .6007273    -0.66   0.508    -1.575522    .7792852
            Una ciudad pequeña  |  -.7439783   .4483646    -1.66   0.097    -1.622757    .1348001
                                |
                          _cons |   -.398359   1.205033    -0.33   0.741     -2.76018    1.963462
--------------------------------+----------------------------------------------------------------
Catalan                         |
                            age |   -.005579   .0106422    -0.52   0.600    -.0264374    .0152794
                         female |  -.1059885   .3376015    -0.31   0.754    -.7676753    .5556983
                                |
                           educ |
                     secondary  |  -.8325505   .6649505    -1.25   0.211     -2.13583    .4707287
                    vocational  |    .057383   .6394838     0.09   0.928    -1.195982    1.310748
                        degree  |   .1316069   .6264067     0.21   0.834    -1.096128    1.359341
                         Other  |  -.6120099   1.360037    -0.45   0.653    -3.277633    2.053614
                                |
                         polint |  -.1214679   .2224971    -0.55   0.585    -.5575542    .3146185
                         income |   -.116199   .0803561    -1.45   0.148    -.2736941    .0412961
                                |
                       domicile |
               Una gran ciudad  |   .0673406   .5068362     0.13   0.894    -.9260401    1.060721
Las afueras de una gran ciudad  |  -.0327159   .6506242    -0.05   0.960    -1.307916    1.242484
            Una ciudad pequeña  |   .1011507   .4812528     0.21   0.834    -.8420874    1.044389
                                |
                          _cons |   1.379621    1.14778     1.20   0.229    -.8699867    3.629228
--------------------------------+----------------------------------------------------------------
Immigration                     |
                            age |  -.0063614   .0103219    -0.62   0.538    -.0265919    .0138691
                         female |   .2327865   .3170708     0.73   0.463    -.3886609    .8542339
                                |
                           educ |
                     secondary  |  -.8147264   .6107666    -1.33   0.182    -2.011807    .3823541
                    vocational  |  -.2429209   .6025561    -0.40   0.687    -1.423909    .9380673
                        degree  |  -.3341812   .5905661    -0.57   0.571     -1.49167    .8233071
                         Other  |  -15.26532   1105.698    -0.01   0.989    -2182.393    2151.863
                                |
                         polint |   .1277316     .21642     0.59   0.555    -.2964438    .5519071
                         income |  -.0600478   .0779339    -0.77   0.441    -.2127954    .0926998
                                |
                       domicile |
               Una gran ciudad  |  -.4614481   .4645162    -0.99   0.321    -1.371883    .4489869
Las afueras de una gran ciudad  |  -.0948917   .5799475    -0.16   0.870    -1.231568    1.041785
            Una ciudad pequeña  |  -.4665225   .4382817    -1.06   0.287    -1.325539    .3924938
                                |
                          _cons |   1.036406   1.094263     0.95   0.344     -1.10831    3.181122
--------------------------------+----------------------------------------------------------------
Feminism                        |
                            age |  -.0036348   .0103752    -0.35   0.726    -.0239699    .0167003
                         female |   .0291139   .3225822     0.09   0.928    -.6031356    .6613634
                                |
                           educ |
                     secondary  |  -1.020729   .5959669    -1.71   0.087    -2.188802     .147345
                    vocational  |  -.5520569   .5909947    -0.93   0.350    -1.710385    .6062715
                        degree  |  -.6073236    .576902    -1.05   0.292    -1.738031    .5233835
                         Other  |  -1.440388   1.336468    -1.08   0.281    -4.059818    1.179041
                                |
                         polint |   .0711753   .2170039     0.33   0.743    -.3541445    .4964951
                         income |   .0017589   .0791191     0.02   0.982    -.1533118    .1568296
                                |
                       domicile |
               Una gran ciudad  |  -.4889032     .47039    -1.04   0.299    -1.410851    .4330443
Las afueras de una gran ciudad  |  -.0622842   .5809663    -0.11   0.915    -1.200957    1.076389
            Una ciudad pequeña  |  -.3932441   .4393971    -0.89   0.371    -1.254447    .4679584
                                |
                          _cons |   .9618086   1.093262     0.88   0.379    -1.180946    3.104563
--------------------------------+----------------------------------------------------------------
Unions                          |
                            age |   .0056103   .0115827     0.48   0.628    -.0170912    .0283119
                         female |  -.3510891   .3802508    -0.92   0.356    -1.096367    .3941889
                                |
                           educ |
                     secondary  |  -1.688333   .6585086    -2.56   0.010    -2.978986   -.3976795
                    vocational  |  -.9624928   .6246577    -1.54   0.123    -2.186799    .2618137
                        degree  |  -.7048388   .5951304    -1.18   0.236    -1.871273    .4615953
                         Other  |  -15.68601   1365.513    -0.01   0.991    -2692.043    2660.671
                                |
                         polint |   .2081032    .249965     0.83   0.405    -.2818192    .6980256
                         income |  -.0382237   .0882533    -0.43   0.665    -.2111969    .1347496
                                |
                       domicile |
               Una gran ciudad  |  -.1606482   .5302488    -0.30   0.762    -1.199917    .8786204
Las afueras de una gran ciudad  |  -.3268824   .6924731    -0.47   0.637    -1.684105     1.03034
            Una ciudad pequeña  |  -.2037729   .5030012    -0.41   0.685    -1.189637    .7820913
                                |
                          _cons |   .1507624   1.232403     0.12   0.903    -2.264703    2.566228
-------------------------------------------------------------------------------------------------

.         estimates store M1_vox

. outreg2  using "${results}TableA.5_Results_balance.xls", ///
> bracket bdec(3) sdec(3) append
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.5_Results_balance.xls
dir : seeout

. 
. 
. // Table A.6: Balance test: VOX supporters
. 
. mlogit treat $controls  if vox_sup==1, base(0)

Iteration 0:  Log likelihood = -1609.8131  
Iteration 1:  Log likelihood = -1583.2236  
Iteration 2:  Log likelihood =  -1582.506  
Iteration 3:  Log likelihood =  -1582.362  
Iteration 4:  Log likelihood = -1582.3293  
Iteration 5:  Log likelihood = -1582.3215  
Iteration 6:  Log likelihood = -1582.3198  
Iteration 7:  Log likelihood = -1582.3195  
Iteration 8:  Log likelihood = -1582.3194  
Iteration 9:  Log likelihood = -1582.3194  

Multinomial logistic regression                         Number of obs =    900
                                                        LR chi2(55)   =  54.99
                                                        Prob > chi2   = 0.4751
Log likelihood = -1582.3194                             Pseudo R2     = 0.0171

-------------------------------------------------------------------------------------------------
                          treat | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
Prado                           |  (base outcome)
--------------------------------+----------------------------------------------------------------
Franco                          |
                            age |  -.0032908     .00724    -0.45   0.649     -.017481    .0108994
                         female |  -.0133792   .2413309    -0.06   0.956    -.4863791    .4596208
                                |
                           educ |
                     secondary  |  -.0253269   .5854591    -0.04   0.965    -1.172806    1.122152
                    vocational  |  -.0753205   .5889449    -0.13   0.898    -1.229631     1.07899
                        degree  |   .0683391   .5751714     0.12   0.905    -1.058976    1.195654
                         Other  |   .0074721   1.139679     0.01   0.995    -2.226258    2.241202
                                |
                         polint |   .0988899   .1634092     0.61   0.545    -.2213863    .4191661
                         income |   .0036982   .0601971     0.06   0.951    -.1142859    .1216823
                                |
                       domicile |
               Una gran ciudad  |  -.1898917   .3527409    -0.54   0.590     -.881251    .5014677
Las afueras de una gran ciudad  |   -.516148    .445247    -1.16   0.246    -1.388816    .3565201
            Una ciudad pequeña  |  -.3060764   .3412535    -0.90   0.370    -.9749209    .3627681
                                |
                          _cons |   .0991477   .9069872     0.11   0.913    -1.678515     1.87681
--------------------------------+----------------------------------------------------------------
Catalan                         |
                            age |  -.0077224    .007394    -1.04   0.296    -.0222143    .0067696
                         female |  -.3554413   .2513264    -1.41   0.157    -.8480321    .1371494
                                |
                           educ |
                     secondary  |  -.6411828   .5865293    -1.09   0.274    -1.790759    .5083935
                    vocational  |   .0803355   .5688053     0.14   0.888    -1.034502    1.195173
                        degree  |    .074214   .5609894     0.13   0.895    -1.025305    1.173733
                         Other  |   .0158546   1.133679     0.01   0.989    -2.206115    2.237824
                                |
                         polint |  -.2018766   .1610267    -1.25   0.210    -.5174831    .1137299
                         income |  -.0553593   .0608402    -0.91   0.363     -.174604    .0638854
                                |
                       domicile |
               Una gran ciudad  |   .3290792    .386399     0.85   0.394    -.4282489    1.086407
Las afueras de una gran ciudad  |   .3483241   .4521929     0.77   0.441    -.5379577    1.234606
            Una ciudad pequeña  |   .1590751    .376523     0.42   0.673    -.5788964    .8970465
                                |
                          _cons |   1.300628   .9016227     1.44   0.149    -.4665201    3.067776
--------------------------------+----------------------------------------------------------------
Immigration                     |
                            age |  -.0024184   .0073396    -0.33   0.742    -.0168037    .0119669
                         female |   .0761439   .2416725     0.32   0.753    -.3975256    .5498133
                                |
                           educ |
                     secondary  |  -.7338832   .5482329    -1.34   0.181      -1.8084    .3406336
                    vocational  |  -.3179993   .5398982    -0.59   0.556     -1.37618    .7401817
                        degree  |  -.3492211    .529356    -0.66   0.509     -1.38674    .6882976
                         Other  |  -13.76584   542.0932    -0.03   0.980    -1076.249    1048.717
                                |
                         polint |   .2368223    .165427     1.43   0.152    -.0874086    .5610533
                         income |  -.0662551   .0602735    -1.10   0.272     -.184389    .0518788
                                |
                       domicile |
               Una gran ciudad  |  -.1466187   .3536492    -0.41   0.678    -.8397583     .546521
Las afueras de una gran ciudad  |  -.3258718   .4355069    -0.75   0.454     -1.17945     .527706
            Una ciudad pequeña  |  -.4251011   .3455706    -1.23   0.219    -1.102407    .2522047
                                |
                          _cons |   .4432956    .884476     0.50   0.616    -1.290245    2.176837
--------------------------------+----------------------------------------------------------------
Feminism                        |
                            age |  -.0014508   .0073559    -0.20   0.844    -.0158682    .0129665
                         female |  -.1617309   .2454542    -0.66   0.510    -.6428123    .3193505
                                |
                           educ |
                     secondary  |  -.9628228   .5159037    -1.87   0.062    -1.973975    .0483298
                    vocational  |   -.947714   .5174513    -1.83   0.067      -1.9619     .066472
                        degree  |  -.7760061   .5013838    -1.55   0.122      -1.7587     .206688
                         Other  |  -.1109308    .983436    -0.11   0.910     -2.03843    1.816568
                                |
                         polint |  -.0657143   .1616105    -0.41   0.684    -.3824652    .2510365
                         income |   .0127632   .0612567     0.21   0.835    -.1072976    .1328241
                                |
                       domicile |
               Una gran ciudad  |  -.1895241   .3704162    -0.51   0.609    -.9155265    .5364784
Las afueras de una gran ciudad  |  -.0413076   .4387197    -0.09   0.925    -.9011823    .8185672
            Una ciudad pequeña  |   .0149539   .3508681     0.04   0.966     -.672735    .7026428
                                |
                          _cons |   1.126844    .867684     1.30   0.194    -.5737851    2.827474
--------------------------------+----------------------------------------------------------------
Unions                          |
                            age |    .004465   .0078365     0.57   0.569    -.0108943    .0198242
                         female |  -.5815794   .2727998    -2.13   0.033    -1.116257   -.0469015
                                |
                           educ |
                     secondary  |  -1.058225   .5427135    -1.95   0.051    -2.121924    .0054736
                    vocational  |  -.6396848   .5320859    -1.20   0.229    -1.682554    .4031843
                        degree  |  -.7435365   .5221264    -1.42   0.154    -1.766886    .2798125
                         Other  |  -1.257929   1.318266    -0.95   0.340    -3.841682    1.325824
                                |
                         polint |   .1254682   .1745676     0.72   0.472     -.216678    .4676144
                         income |  -.0846217    .064669    -1.31   0.191    -.2113707    .0421272
                                |
                       domicile |
               Una gran ciudad  |  -.1118801   .3836572    -0.29   0.771    -.8638343    .6400742
Las afueras de una gran ciudad  |  -.2491614   .4735689    -0.53   0.599    -1.177339    .6790167
            Una ciudad pequeña  |  -.1482704    .368013    -0.40   0.687    -.8695627    .5730219
                                |
                          _cons |   .7725795   .9205361     0.84   0.401    -1.031638    2.576797
-------------------------------------------------------------------------------------------------

.         estimates store M1_vox

. outreg2  using "${results}TableA.6_Results_balance.xls", ///
> bracket bdec(3) sdec(3) append
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.6_Results_balance.xls
dir : seeout

. 
. // Table A.7: Balance test: Non-VOX voters
. 
. mlogit treat $controls  if vote_3==0, base(0)

Iteration 0:  Log likelihood = -5679.2662  
Iteration 1:  Log likelihood =  -5652.081  
Iteration 2:  Log likelihood = -5651.9674  
Iteration 3:  Log likelihood = -5651.9674  

Multinomial logistic regression                         Number of obs =  3,170
                                                        LR chi2(55)   =  54.60
                                                        Prob > chi2   = 0.4899
Log likelihood = -5651.9674                             Pseudo R2     = 0.0048

-------------------------------------------------------------------------------------------------
                          treat | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
Prado                           |  (base outcome)
--------------------------------+----------------------------------------------------------------
Franco                          |
                            age |  -.0006954   .0039885    -0.17   0.862    -.0085128     .007122
                         female |  -.0220556   .1263003    -0.17   0.861    -.2695996    .2254885
                                |
                           educ |
                     secondary  |   .1834521   .3018785     0.61   0.543    -.4082188     .775123
                    vocational  |   .2723402   .3026337     0.90   0.368     -.320811    .8654914
                        degree  |   .2894681   .2915273     0.99   0.321    -.2819149    .8608511
                         Other  |   -.062459   .6452263    -0.10   0.923    -1.327079    1.202161
                                |
                         polint |   .1949722   .0880831     2.21   0.027     .0223326    .3676118
                         income |  -.0073116   .0337453    -0.22   0.828    -.0734512     .058828
                                |
                       domicile |
               Una gran ciudad  |   .2776834   .1810038     1.53   0.125    -.0770776    .6324445
Las afueras de una gran ciudad  |   .0661298   .2264668     0.29   0.770    -.3777369    .5099966
            Una ciudad pequeña  |   .0301168   .1781519     0.17   0.866    -.3190545     .379288
                                |
                          _cons |  -.9382928   .4705768    -1.99   0.046    -1.860606   -.0159791
--------------------------------+----------------------------------------------------------------
Catalan                         |
                            age |   .0018015   .0040408     0.45   0.656    -.0061184    .0097214
                         female |  -.0840591   .1273912    -0.66   0.509    -.3337413    .1656231
                                |
                           educ |
                     secondary  |  -.1023068   .2800526    -0.37   0.715    -.6511998    .4465862
                    vocational  |   -.149388    .282894    -0.53   0.597      -.70385    .4050741
                        degree  |  -.1166595   .2704489    -0.43   0.666    -.6467296    .4134105
                         Other  |   .3129009   .5511761     0.57   0.570    -.7673845    1.393186
                                |
                         polint |   .0008717    .086408     0.01   0.992    -.1684848    .1702282
                         income |   .0432705   .0342715     1.26   0.207    -.0239005    .1104414
                                |
                       domicile |
               Una gran ciudad  |   .0449934   .1852184     0.24   0.808     -.318028    .4080148
Las afueras de una gran ciudad  |   .0888073   .2251888     0.39   0.693    -.3525547    .5301693
            Una ciudad pequeña  |   .1691724   .1765869     0.96   0.338    -.1769316    .5152764
                                |
                          _cons |  -.3785457   .4539197    -0.83   0.404    -1.268212    .5111206
--------------------------------+----------------------------------------------------------------
Immigration                     |
                            age |  -.0013829   .0040377    -0.34   0.732    -.0092967    .0065309
                         female |  -.0011395   .1271957    -0.01   0.993    -.2504385    .2481595
                                |
                           educ |
                     secondary  |  -.2162625   .2732989    -0.79   0.429    -.7519185    .3193935
                    vocational  |  -.0854512   .2735429    -0.31   0.755    -.6215855     .450683
                        degree  |  -.2544297   .2639858    -0.96   0.335    -.7718323     .262973
                         Other  |  -.3453736   .6060201    -0.57   0.569    -1.533151     .842404
                                |
                         polint |   .1078938   .0870129     1.24   0.215    -.0626484    .2784361
                         income |  -.0388724   .0340565    -1.14   0.254    -.1056219    .0278772
                                |
                       domicile |
               Una gran ciudad  |   .0598258   .1891649     0.32   0.752    -.3109306    .4305823
Las afueras de una gran ciudad  |   .2413527   .2263015     1.07   0.286    -.2021901    .6848955
            Una ciudad pequeña  |   .3507301   .1775185     1.98   0.048     .0028003      .69866
                                |
                          _cons |  -.0922594   .4499552    -0.21   0.838    -.9741554    .7896365
--------------------------------+----------------------------------------------------------------
Feminism                        |
                            age |  -.0006945   .0039959    -0.17   0.862    -.0085263    .0071373
                         female |  -.0593623   .1262486    -0.47   0.638     -.306805    .1880803
                                |
                           educ |
                     secondary  |  -.0867034   .2758068    -0.31   0.753    -.6272748    .4538681
                    vocational  |  -.1703709   .2791277    -0.61   0.542    -.7174511    .3767093
                        degree  |  -.1688916   .2670778    -0.63   0.527    -.6923546    .3545713
                         Other  |  -.2644209   .6073295    -0.44   0.663    -1.454765     .925923
                                |
                         polint |   .0266564   .0858192     0.31   0.756    -.1415462     .194859
                         income |   .0326593   .0339032     0.96   0.335    -.0337898    .0991083
                                |
                       domicile |
               Una gran ciudad  |   .0905267   .1841227     0.49   0.623    -.2703472    .4514005
Las afueras de una gran ciudad  |   .0328085   .2268493     0.14   0.885    -.4118079    .4774249
            Una ciudad pequeña  |   .2339913   .1753545     1.33   0.182    -.1096972    .5776798
                                |
                          _cons |  -.2477737   .4490072    -0.55   0.581    -1.127812    .6322643
--------------------------------+----------------------------------------------------------------
Unions                          |
                            age |   .0003694   .0039908     0.09   0.926    -.0074525    .0081913
                         female |  -.1441453   .1267634    -1.14   0.255    -.3925969    .1043064
                                |
                           educ |
                     secondary  |   .2292349   .2951475     0.78   0.437    -.3492436    .8077134
                    vocational  |   .1859416   .2979544     0.62   0.533    -.3980382    .7699215
                        degree  |   .2981737   .2858509     1.04   0.297    -.2620838    .8584312
                         Other  |   .7568309   .5442294     1.39   0.164    -.3098391    1.823501
                                |
                         polint |   .0480956   .0862314     0.56   0.577    -.1209149     .217106
                         income |  -.0219856   .0337158    -0.65   0.514    -.0880673     .044096
                                |
                       domicile |
               Una gran ciudad  |   .1502246   .1843643     0.81   0.415    -.2111227    .5115719
Las afueras de una gran ciudad  |  -.0293818   .2312923    -0.13   0.899    -.4827065    .4239428
            Una ciudad pequeña  |   .2538605   .1764058     1.44   0.150    -.0918886    .5996096
                                |
                          _cons |   -.392342   .4608598    -0.85   0.395    -1.295611    .5109266
-------------------------------------------------------------------------------------------------

.         estimates store M1_vox

. outreg2  using "${results}TableA.7_Results_balance.xls", ///
> bracket bdec(3) sdec(3) append
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.7_Results_balance.xls
dir : seeout

. 
. // Table A.8: Balance test: VOX vs right-wing voters
. mlogit treat $controls  if vote_vox_right!=., base(0)

Iteration 0:  Log likelihood = -1942.4107  
Iteration 1:  Log likelihood = -1919.7826  
Iteration 2:  Log likelihood = -1919.6563  
Iteration 3:  Log likelihood = -1919.6561  
Iteration 4:  Log likelihood = -1919.6561  

Multinomial logistic regression                         Number of obs =  1,086
                                                        LR chi2(55)   =  45.51
                                                        Prob > chi2   = 0.8155
Log likelihood = -1919.6561                             Pseudo R2     = 0.0117

-------------------------------------------------------------------------------------------------
                          treat | Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
Prado                           |  (base outcome)
--------------------------------+----------------------------------------------------------------
Franco                          |
                            age |    .010352   .0071382     1.45   0.147    -.0036386    .0243426
                         female |   -.137722   .2161526    -0.64   0.524    -.5613734    .2859293
                                |
                           educ |
                     secondary  |   -.032159   .5567046    -0.06   0.954     -1.12328    1.058962
                    vocational  |    .223128   .5616002     0.40   0.691    -.8775882    1.323844
                        degree  |    .383937   .5396435     0.71   0.477    -.6737448    1.441619
                         Other  |  -.1676875   1.047166    -0.16   0.873    -2.220095     1.88472
                                |
                         polint |   .0335914   .1445289     0.23   0.816    -.2496801     .316863
                         income |   .0084112    .056017     0.15   0.881    -.1013801    .1182025
                                |
                       domicile |
               Una gran ciudad  |  -.1099567   .3283041    -0.33   0.738    -.7534209    .5335075
Las afueras de una gran ciudad  |  -.3641811   .3908716    -0.93   0.351    -1.130275    .4019132
            Una ciudad pequeña  |  -.2827603   .3191798    -0.89   0.376    -.9083412    .3428207
                                |
                          _cons |  -.7118446   .8174842    -0.87   0.384    -2.314084    .8903949
--------------------------------+----------------------------------------------------------------
Catalan                         |
                            age |  -.0038915   .0071224    -0.55   0.585    -.0178512    .0100682
                         female |  -.3041149   .2222848    -1.37   0.171    -.7397851    .1315552
                                |
                           educ |
                     secondary  |  -.9158281   .4959588    -1.85   0.065     -1.88789    .0562334
                    vocational  |   -.231531   .4882669    -0.47   0.635    -1.188517    .7254546
                        degree  |  -.3530672   .4705706    -0.75   0.453    -1.275369    .5692342
                         Other  |  -.3225378   .9277892    -0.35   0.728    -2.140971    1.495896
                                |
                         polint |  -.0774523   .1443481    -0.54   0.592    -.3603693    .2054647
                         income |  -.0863434   .0559953    -1.54   0.123    -.1960921    .0234054
                                |
                       domicile |
               Una gran ciudad  |    .119839   .3476537     0.34   0.730    -.5615497    .8012276
Las afueras de una gran ciudad  |  -.1543874   .4139224    -0.37   0.709    -.9656604    .6568855
            Una ciudad pequeña  |   .2340421   .3319381     0.71   0.481    -.4165447    .8846289
                                |
                          _cons |   1.299377   .7684529     1.69   0.091    -.2067625    2.805517
--------------------------------+----------------------------------------------------------------
Immigration                     |
                            age |  -.0018735   .0070927    -0.26   0.792     -.015775    .0120281
                         female |   .0461094   .2160458     0.21   0.831    -.3773326    .4695514
                                |
                           educ |
                     secondary  |  -.6623115   .4958265    -1.34   0.182    -1.634113    .3094906
                    vocational  |  -.1760566   .4941893    -0.36   0.722     -1.14465    .7925366
                        degree  |  -.4241563   .4777461    -0.89   0.375    -1.360521    .5122088
                         Other  |  -1.430672   1.239535    -1.15   0.248    -3.860116    .9987724
                                |
                         polint |   .2454706    .146488     1.68   0.094    -.0416406    .5325818
                         income |  -.0599368   .0556212    -1.08   0.281    -.1689523    .0490786
                                |
                       domicile |
               Una gran ciudad  |  -.1900177   .3297675    -0.58   0.564    -.8363501    .4563148
Las afueras de una gran ciudad  |  -.1524682    .380872    -0.40   0.689    -.8989636    .5940272
            Una ciudad pequeña  |  -.2803387   .3170703    -0.88   0.377    -.9017851    .3411077
                                |
                          _cons |   .2095649   .7744539     0.27   0.787    -1.308337    1.727467
--------------------------------+----------------------------------------------------------------
Feminism                        |
                            age |  -.0024091   .0069947    -0.34   0.731    -.0161185    .0113003
                         female |  -.0302441   .2136697    -0.14   0.887    -.4490291    .3885408
                                |
                           educ |
                     secondary  |  -.6760957   .4798032    -1.41   0.159    -1.616493    .2643013
                    vocational  |  -.3532438   .4829141    -0.73   0.464    -1.299738    .5932504
                        degree  |  -.5460963    .465105    -1.17   0.240    -1.457685    .3654927
                         Other  |   -.470082   .9238067    -0.51   0.611     -2.28071    1.340546
                                |
                         polint |   .0303297   .1418658     0.21   0.831    -.2477221    .3083814
                         income |  -.0195169   .0554953    -0.35   0.725    -.1282856    .0892518
                                |
                       domicile |
               Una gran ciudad  |  -.2014726   .3370366    -0.60   0.550    -.8620522     .459107
Las afueras de una gran ciudad  |  -.1305323   .3881908    -0.34   0.737    -.8913723    .6303077
            Una ciudad pequeña  |   .0810025   .3167847     0.26   0.798    -.5398841    .7018892
                                |
                          _cons |   .6866039   .7570151     0.91   0.364    -.7971184    2.170326
--------------------------------+----------------------------------------------------------------
Unions                          |
                            age |   .0070621   .0075327     0.94   0.348    -.0077017    .0218258
                         female |  -.3415549   .2331581    -1.46   0.143    -.7985364    .1154267
                                |
                           educ |
                     secondary  |  -.7179931   .4969904    -1.44   0.149    -1.692076    .2560902
                    vocational  |  -.3680238   .4992472    -0.74   0.461     -1.34653    .6104827
                        degree  |  -.6053762   .4812637    -1.26   0.208    -1.548636    .3378833
                         Other  |   -1.45618   1.237829    -1.18   0.239     -3.88228    .9699203
                                |
                         polint |   .0660174   .1523837     0.43   0.665    -.2326492     .364684
                         income |  -.0397505   .0594527    -0.67   0.504    -.1562757    .0767747
                                |
                       domicile |
               Una gran ciudad  |  -.0643577   .3550244    -0.18   0.856    -.7601927    .6314774
Las afueras de una gran ciudad  |  -.1420276   .4159198    -0.34   0.733    -.9572155    .6731602
            Una ciudad pequeña  |   .0095573   .3383864     0.03   0.977    -.6536679    .6727825
                                |
                          _cons |   .1626019   .8060757     0.20   0.840    -1.417277    1.742481
-------------------------------------------------------------------------------------------------

.         estimates store M1_vox

. outreg2  using "${results}TableA.8_Results_balance.xls", ///
> bracket bdec(3) sdec(3) append
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.8_Results_balance.xls
dir : seeout

. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 5: Coefficients Figure 1 
. 
. capture erase "${results}TableA.9_coef_subsample.xls"

. capture erase "${results}TableA.9_coef_subsample.txt"

. 
. 
. foreach k of varlist vox_sup vote_3 {
  2. reg support i.treat female i.educ if `k'==1
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.9_coef_subsample.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. reg donate i.treat female i.educ  if `k'==1 
  6. estimates store M2_`k'
  7. outreg2  using "${results}TableA.9_coef_subsample.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. reg support i.treat polint if `k'==0
  9. estimates store M4_`k'
 10. outreg2  using "${results}TableA.9_coef_subsample.xls", ///
> bracket bdec(3) sdec(3) append label word 
 11. 
. reg donate i.treat polint  if `k'==0 
 12. estimates store M3_`k'
 13. outreg2  using "${results}TableA.9_coef_subsample.xls", ///
> bracket bdec(3) sdec(3) append label word 
 14. 
. }

      Source |       SS           df       MS      Number of obs   =     1,036
-------------+----------------------------------   F(10, 1025)     =     33.11
       Model |  601.799457        10  60.1799457   Prob > F        =    0.0000
    Residual |  1862.85209     1,025  1.81741667   R-squared       =    0.2442
-------------+----------------------------------   Adj R-squared   =    0.2368
       Total |  2464.65154     1,035  2.38130584   Root MSE        =    1.3481

------------------------------------------------------------------------------
     support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -.1615648    .145131    -1.11   0.266    -.4463527     .123223
    Catalan  |  -1.887251   .1455328   -12.97   0.000    -2.172828   -1.601675
Immigration  |   -1.00818    .143703    -7.02   0.000    -1.290166   -.7261943
   Feminism  |  -1.671925   .1431969   -11.68   0.000    -1.952918   -1.390933
     Unions  |   -1.63674   .1518114   -10.78   0.000    -1.934636   -1.338843
             |
      female |   .0938632    .090013     1.04   0.297    -.0827675     .270494
             |
        educ |
  secondary  |    .302046   .1862221     1.62   0.105     -.063374    .6674661
 vocational  |  -.0053116   .1848182    -0.03   0.977    -.3679769    .3573537
     degree  |   .2066036   .1754652     1.18   0.239    -.1377084    .5509156
      Other  |   .6047666   .3764055     1.61   0.108    -.1338469     1.34338
             |
       _cons |   2.874248   .1916771    15.00   0.000     2.498123    3.250372
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =       980
-------------+----------------------------------   F(10, 969)      =      5.67
       Model |  4.28881023        10  .428881023   Prob > F        =    0.0000
    Residual |  73.3387408       969  .075684975   R-squared       =    0.0552
-------------+----------------------------------   Adj R-squared   =    0.0455
       Total |   77.627551       979  .079292698   Root MSE        =    .27511

------------------------------------------------------------------------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |   .0188899   .0309412     0.61   0.542    -.0418295    .0796093
    Catalan  |     -.1426   .0307753    -4.63   0.000    -.2029939   -.0822061
Immigration  |  -.0543033   .0310095    -1.75   0.080    -.1151568    .0065501
   Feminism  |  -.1274704     .03038    -4.20   0.000    -.1870886   -.0678521
     Unions  |  -.1248077   .0321013    -3.89   0.000    -.1878038   -.0618116
             |
      female |  -.0075522   .0189503    -0.40   0.690    -.0447406    .0296362
             |
        educ |
  secondary  |  -.0136951   .0380921    -0.36   0.719    -.0884476    .0610573
 vocational  |  -.0377867   .0377706    -1.00   0.317    -.1119084    .0363349
     degree  |  -.0171056   .0356854    -0.48   0.632    -.0871351     .052924
      Other  |   .0776451   .0747917     1.04   0.299    -.0691273    .2244174
             |
       _cons |    .180405   .0395655     4.56   0.000     .1027611    .2580488
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,324
-------------+----------------------------------   F(6, 3317)      =    299.05
       Model |  4577.68417         6  762.947362   Prob > F        =    0.0000
    Residual |  8462.54687     3,317  2.55126526   R-squared       =    0.3510
-------------+----------------------------------   Adj R-squared   =    0.3499
       Total |   13040.231     3,323  3.92423444   Root MSE        =    1.5973

------------------------------------------------------------------------------
     support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -2.753341   .0966799   -28.48   0.000    -2.942899   -2.563783
    Catalan  |  -.9903641   .0970722   -10.20   0.000    -1.180692   -.8000365
Immigration  |   .8227958   .0944144     8.71   0.000     .6376794    1.007912
   Feminism  |   .3309715   .0948882     3.49   0.000     .1449262    .5170168
     Unions  |  -.3506141   .0949831    -3.69   0.000    -.5368455   -.1643826
             |
      polint |   .4168488   .0379698    10.98   0.000     .3424022    .4912953
       _cons |   2.621102   .1404108    18.67   0.000     2.345801    2.896402
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     2,866
-------------+----------------------------------   F(6, 2859)      =    104.63
       Model |   97.336235         6  16.2227058   Prob > F        =    0.0000
    Residual |  443.274023     2,859  .155045129   R-squared       =    0.1800
-------------+----------------------------------   Adj R-squared   =    0.1783
       Total |  540.610258     2,865   .18869468   Root MSE        =    .39376

------------------------------------------------------------------------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -.2378575   .0248818    -9.56   0.000    -.2866455   -.1890695
    Catalan  |  -.1110361   .0253805    -4.37   0.000     -.160802   -.0612702
Immigration  |    .333816    .025985    12.85   0.000     .2828647    .3847672
   Feminism  |    .150768   .0257176     5.86   0.000     .1003411     .201195
     Unions  |  -.0391093   .0251787    -1.55   0.120    -.0884796     .010261
             |
      polint |   .0472203   .0099049     4.77   0.000     .0277989    .0666417
       _cons |   .0909356   .0365203     2.49   0.013     .0193268    .1625444
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =       586
-------------+----------------------------------   F(10, 575)      =     36.43
       Model |  552.815575        10  55.2815575   Prob > F        =    0.0000
    Residual |  872.501832       575  1.51739449   R-squared       =    0.3879
-------------+----------------------------------   Adj R-squared   =    0.3772
       Total |  1425.31741       585  2.43644001   Root MSE        =    1.2318

------------------------------------------------------------------------------
     support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |   .6344985   .1809796     3.51   0.000     .2790368    .9899601
    Catalan  |  -1.785705   .1760244   -10.14   0.000    -2.131435   -1.439976
Immigration  |  -1.231653   .1714679    -7.18   0.000    -1.568432   -.8948727
   Feminism  |  -1.738612   .1719071   -10.11   0.000    -2.076254    -1.40097
     Unions  |  -1.920197   .1875715   -10.24   0.000    -2.288606   -1.551789
             |
      female |   .0826913    .112341     0.74   0.462    -.1379574    .3033401
             |
        educ |
  secondary  |   .0200185   .2054218     0.10   0.922      -.38345    .4234871
 vocational  |  -.3686665   .1990916    -1.85   0.065    -.7597019     .022369
     degree  |  -.0495224   .1861178    -0.27   0.790    -.4150762    .3160313
      Other  |   .0113497   .4314521     0.03   0.979    -.8360646     .858764
             |
       _cons |   3.073379   .2099056    14.64   0.000     2.661104    3.485655
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =       561
-------------+----------------------------------   F(10, 550)      =      6.38
       Model |  4.81819053        10  .481819053   Prob > F        =    0.0000
    Residual |  41.5454458       550  .075537174   R-squared       =    0.1039
-------------+----------------------------------   Adj R-squared   =    0.0876
       Total |  46.3636364       560  .082792208   Root MSE        =    .27484

------------------------------------------------------------------------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |   .1298501   .0420224     3.09   0.002     .0473061    .2123942
    Catalan  |  -.1079985   .0405934    -2.66   0.008    -.1877355   -.0282615
Immigration  |  -.0434958   .0399882    -1.09   0.277    -.1220441    .0350525
   Feminism  |  -.1117932   .0398395    -2.81   0.005    -.1900494    -.033537
     Unions  |  -.1435212   .0428952    -3.35   0.001    -.2277796   -.0592629
             |
      female |   .0147745   .0255484     0.58   0.563    -.0354098    .0649588
             |
        educ |
  secondary  |  -.0786154   .0458651    -1.71   0.087    -.1687076    .0114768
 vocational  |  -.1012641   .0442877    -2.29   0.023    -.1882578   -.0142704
     degree  |  -.0717835   .0413939    -1.73   0.083     -.153093     .009526
      Other  |  -.0321575   .0921681    -0.35   0.727     -.213202     .148887
             |
       _cons |   .2081339   .0474455     4.39   0.000     .1149373    .3013304
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,808
-------------+----------------------------------   F(6, 3801)      =    251.84
       Model |  4278.18071         6  713.030119   Prob > F        =    0.0000
    Residual |  10761.5325     3,801  2.83123718   R-squared       =    0.2845
-------------+----------------------------------   Adj R-squared   =    0.2833
       Total |  15039.7132     3,807  3.95054196   Root MSE        =    1.6826

------------------------------------------------------------------------------
     support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -2.513545   .0948926   -26.49   0.000     -2.69959     -2.3275
    Catalan  |  -1.139299   .0954656   -11.93   0.000    -1.326468   -.9521303
Immigration  |   .6491187   .0934867     6.94   0.000     .4658298    .8324077
   Feminism  |   .0843916   .0936707     0.90   0.368     -.099258    .2680413
     Unions  |  -.4651867   .0940435    -4.95   0.000    -.6495673   -.2808062
             |
      polint |   .4218625   .0369293    11.42   0.000     .3494594    .4942656
       _cons |   2.514495   .1368774    18.37   0.000     2.246135    2.782856
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,320
-------------+----------------------------------   F(6, 3313)      =     96.56
       Model |   87.551212         6  14.5918687   Prob > F        =    0.0000
    Residual |   500.63674     3,313   .15111281   R-squared       =    0.1488
-------------+----------------------------------   Adj R-squared   =    0.1473
       Total |  588.187952     3,319  .177218425   Root MSE        =    .38873

------------------------------------------------------------------------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -.2222934   .0228776    -9.72   0.000    -.2671491   -.1774378
    Catalan  |  -.1262001   .0233199    -5.41   0.000    -.1719229   -.0804773
Immigration  |   .2797143    .023923    11.69   0.000     .2328089    .3266196
   Feminism  |    .096971   .0235859     4.11   0.000     .0507265    .1432155
     Unions  |  -.0526937   .0232685    -2.26   0.024    -.0983157   -.0070717
             |
      polint |   .0483721   .0090098     5.37   0.000     .0307068    .0660375
       _cons |   .0849147    .033286     2.55   0.011     .0196514    .1501779
------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.9_coef_subsample.xls
dir : seeout

. 
. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 6:  Replicating Table 1, using VOX (PTV) support and donations instead of VOX vote
. 
. capture erase "${results}TableA.10_app_support.xls"

. capture erase "${results}TableA.10_app_support.txt"

. 
. // Table A.10: Main results: Vox support and treatments (FULL SAMPLE)
. 
. foreach k of varlist vox_sup {
  2. reg support i.treat##i.`k' polint 
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.10_app_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. reg donate i.treat##i.`k' polint 
  6. estimates store M2_`k'
  7. outreg2  using "${results}TableA.10_app_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. }

      Source |       SS           df       MS      Number of obs   =     4,389
-------------+----------------------------------   F(12, 4376)     =    241.35
       Model |  6946.99455        12  578.916213   Prob > F        =    0.0000
    Residual |  10496.3862     4,376  2.39862573   R-squared       =    0.3983
-------------+----------------------------------   Adj R-squared   =    0.3966
       Total |  17443.3807     4,388  3.97524629   Root MSE        =    1.5487

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -2.741971    .093724   -29.26   0.000    -2.925717   -2.558224
      Catalan  |  -.9823415   .0941141   -10.44   0.000    -1.166853   -.7978302
  Immigration  |   .8249348   .0915458     9.01   0.000     .6454587    1.004411
     Feminism  |   .3371658   .0920001     3.66   0.000     .1567991    .5175325
       Unions  |  -.3431357   .0920895    -3.73   0.000    -.5236777   -.1625937
               |
     1.vox_sup |  -.8546961   .1336607    -6.39   0.000    -1.116739   -.5926535
               |
 treat#vox_sup |
     Franco#1  |   2.580751    .189032    13.65   0.000     2.210153    2.951349
    Catalan#1  |  -.8615066   .1888946    -4.56   0.000    -1.231836   -.4911776
Immigration#1  |  -1.851987   .1870221    -9.90   0.000    -2.218645   -1.485329
   Feminism#1  |  -2.007994   .1861638   -10.79   0.000     -2.37297   -1.643019
     Unions#1  |   -1.38516   .1949176    -7.11   0.000    -1.767297   -1.003022
               |
        polint |   .3070931   .0319382     9.62   0.000      .244478    .3697082
         _cons |   2.977662   .1224577    24.32   0.000     2.737583    3.217741
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.10_app_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.10_app_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,872
-------------+----------------------------------   F(12, 3859)     =     75.48
       Model |  121.877906        12  10.1564922   Prob > F        =    0.0000
    Residual |  519.256133     3,859  .134557174   R-squared       =    0.1901
-------------+----------------------------------   Adj R-squared   =    0.1876
       Total |  641.134039     3,871  .165624913   Root MSE        =    .36682

--------------------------------------------------------------------------------
        donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -.2369253   .0231704   -10.23   0.000    -.2823527   -.1914978
      Catalan  |  -.1104397   .0236405    -4.67   0.000    -.1567888   -.0640906
  Immigration  |   .3343332   .0242047    13.81   0.000     .2868781    .3817884
     Feminism  |   .1509909   .0239577     6.30   0.000     .1040199    .1979619
       Unions  |  -.0386561   .0234541    -1.65   0.099    -.0846397    .0073275
               |
     1.vox_sup |  -.0743892   .0337569    -2.20   0.028    -.1405723   -.0082061
               |
 treat#vox_sup |
     Franco#1  |   .2485508   .0467014     5.32   0.000      .156989    .3401126
    Catalan#1  |  -.0312931   .0466721    -0.67   0.503    -.1227974    .0602111
Immigration#1  |  -.4015872   .0475249    -8.45   0.000    -.4947635   -.3084109
   Feminism#1  |  -.2838316    .046478    -6.11   0.000    -.3749553   -.1927078
     Unions#1  |  -.1019109   .0481835    -2.12   0.034    -.1963784   -.0074434
               |
        polint |    .040548   .0079633     5.09   0.000     .0249354    .0561607
         _cons |   .1123939    .030541     3.68   0.000     .0525158    .1722719
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.10_app_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.10_app_support.xls
dir : seeout

. 
. 
. // Table A.11: Using PTV instead of binary support variables
. 
. capture erase "${results}TableA.11_PTV_support.xls"

. capture erase "${results}TableA.11_PTV_support.txt"

. 
. foreach k of varlist $ptv {
  2. reg support i.treat##c.`k' polint
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.11_PTV_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. 
. reg donate i.treat##c.`k' polint
  6. estimates store M1_`k'
  7. outreg2  using "${results}TableA.11_PTV_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. }

      Source |       SS           df       MS      Number of obs   =     4,385
-------------+----------------------------------   F(12, 4372)     =    165.01
       Model |  5421.39154        12  451.782628   Prob > F        =    0.0000
    Residual |  11970.2951     4,372   2.7379449   R-squared       =    0.3117
-------------+----------------------------------   Adj R-squared   =    0.3098
       Total |  17391.6867     4,384  3.96708181   Root MSE        =    1.6547

-------------------------------------------------------------------------------
      support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.9642479   .1473613    -6.54   0.000    -1.253151    -.675345
     Catalan  |  -1.330714   .1458899    -9.12   0.000    -1.616732   -1.044696
 Immigration  |  -.4518017   .1431465    -3.16   0.002    -.7324414    -.171162
    Feminism  |  -1.181701   .1457382    -8.11   0.000    -1.467422     -.89598
      Unions  |  -1.311301   .1473399    -8.90   0.000    -1.600161    -1.02244
              |
        ptv_1 |   .0957379   .0195444     4.90   0.000      .057421    .1340547
              |
treat#c.ptv_1 |
      Franco  |  -.2691108   .0284853    -9.45   0.000    -.3249563   -.2132652
     Catalan  |   .0225963   .0278005     0.81   0.416    -.0319067    .0770993
 Immigration  |   .2062472   .0277768     7.43   0.000     .1517906    .2607037
    Feminism  |   .2244235   .0275356     8.15   0.000     .1704398    .2784072
      Unions  |   .1574614   .0278326     5.66   0.000     .1028953    .2120275
              |
       polint |   .3471383   .0340882    10.18   0.000     .2803082    .4139684
        _cons |   2.229044   .1499403    14.87   0.000     1.935085    2.523003
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,873
-------------+----------------------------------   F(12, 3860)     =     62.48
       Model |  103.811982        12  8.65099849   Prob > F        =    0.0000
    Residual |  534.453445     3,860  .138459442   R-squared       =    0.1626
-------------+----------------------------------   Adj R-squared   =    0.1600
       Total |  638.265427     3,872  .164841278   Root MSE        =     .3721

-------------------------------------------------------------------------------
       donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.0836029    .034342    -2.43   0.015    -.1509331   -.0162726
     Catalan  |  -.0980975   .0344078    -2.85   0.004    -.1655567   -.0306382
 Immigration  |    .013353   .0347988     0.38   0.701    -.0548728    .0815788
    Feminism  |  -.0933579   .0345301    -2.70   0.007    -.1610569    -.025659
      Unions  |  -.1402939   .0348754    -4.02   0.000    -.2086699   -.0719179
              |
        ptv_1 |   .0057564   .0047959     1.20   0.230    -.0036462    .0151591
              |
treat#c.ptv_1 |
      Franco  |  -.0216031   .0067048    -3.22   0.001    -.0347484   -.0084578
     Catalan  |   -.005342    .006637    -0.80   0.421    -.0183544    .0076704
 Immigration  |   .0528132   .0069112     7.64   0.000     .0392632    .0663631
    Feminism  |   .0389824   .0067487     5.78   0.000     .0257511    .0522137
      Unions  |   .0183421   .0067496     2.72   0.007      .005109    .0315753
              |
       polint |   .0416748    .008074     5.16   0.000      .025845    .0575046
        _cons |   .0656067   .0356521     1.84   0.066     -.004292    .1355054
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,401
-------------+----------------------------------   F(12, 4388)     =    166.84
       Model |  5471.17482        12  455.931235   Prob > F        =    0.0000
    Residual |  11991.0624     4,388  2.73269426   R-squared       =    0.3133
-------------+----------------------------------   Adj R-squared   =    0.3114
       Total |  17462.2372     4,400  3.96869028   Root MSE        =    1.6531

-------------------------------------------------------------------------------
      support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -2.710578   .1271104   -21.32   0.000    -2.959778   -2.461377
     Catalan  |  -.6241521   .1273293    -4.90   0.000    -.8737818   -.3745224
 Immigration  |   1.080051   .1244725     8.68   0.000     .8360225     1.32408
    Feminism  |   .8532788   .1248951     6.83   0.000     .6084213    1.098136
      Unions  |   .0956558   .1253651     0.76   0.445    -.1501232    .3414347
              |
        ptv_2 |  -.0313776   .0219138    -1.43   0.152    -.0743397    .0115846
              |
treat#c.ptv_2 |
      Franco  |   .2035793   .0307596     6.62   0.000     .1432751    .2638836
     Catalan  |  -.2119508   .0317844    -6.67   0.000    -.2742642   -.1496373
 Immigration  |  -.2485813   .0309637    -8.03   0.000    -.3092859   -.1878767
    Feminism  |  -.3488684   .0307184   -11.36   0.000    -.4090919   -.2886449
      Unions  |  -.2571976   .0316134    -8.14   0.000    -.3191757   -.1952195
              |
       polint |   .2893618   .0340914     8.49   0.000     .2225254    .3561983
        _cons |    2.91895   .1437767    20.30   0.000     2.637076    3.200825
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,883
-------------+----------------------------------   F(12, 3870)     =     54.13
       Model |  92.2132706        12  7.68443922   Prob > F        =    0.0000
    Residual |  549.401975     3,870  .141964335   R-squared       =    0.1437
-------------+----------------------------------   Adj R-squared   =    0.1411
       Total |  641.615246     3,882  .165279558   Root MSE        =    .37678

-------------------------------------------------------------------------------
       donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.1937179   .0301874    -6.42   0.000    -.2529025   -.1345332
     Catalan  |  -.0819009     .03081    -2.66   0.008    -.1423062   -.0214957
 Immigration  |   .3566836   .0312682    11.41   0.000       .29538    .4179873
    Feminism  |   .2015173    .031139     6.47   0.000      .140467    .2625677
      Unions  |   .0146709   .0306448     0.48   0.632    -.0454105    .0747524
              |
        ptv_2 |  -.0002313   .0053635    -0.04   0.966    -.0107468    .0102842
              |
treat#c.ptv_2 |
      Franco  |   .0067906   .0073385     0.93   0.355    -.0075971    .0211783
     Catalan  |  -.0132125   .0076283    -1.73   0.083    -.0281684    .0017434
 Immigration  |  -.0476599   .0077789    -6.13   0.000    -.0629111   -.0324088
    Feminism  |  -.0431561   .0074192    -5.82   0.000     -.057702   -.0286101
      Unions  |  -.0260458   .0075702    -3.44   0.001    -.0408877   -.0112039
              |
       polint |   .0368852   .0081876     4.51   0.000     .0208328    .0529375
        _cons |   .1062032   .0346968     3.06   0.002     .0381775    .1742289
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,389
-------------+----------------------------------   F(12, 4376)     =    295.16
       Model |  7802.94137        12  650.245114   Prob > F        =    0.0000
    Residual |  9640.43935     4,376  2.20302545   R-squared       =    0.4473
-------------+----------------------------------   Adj R-squared   =    0.4458
       Total |  17443.3807     4,388  3.97524629   Root MSE        =    1.4843

-------------------------------------------------------------------------------
      support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -3.264803   .1069528   -30.53   0.000    -3.474484   -3.055121
     Catalan  |  -.8432279   .1069268    -7.89   0.000    -1.052859   -.6335972
 Immigration  |    1.23209   .1046625    11.77   0.000     1.026898    1.437281
    Feminism  |   .7641992   .1050949     7.27   0.000     .5581601    .9702383
      Unions  |  -.0410884   .1052191    -0.39   0.696    -.2473711    .1651943
              |
        ptv_3 |  -.1128073   .0163176    -6.91   0.000    -.1447982   -.0808165
              |
treat#c.ptv_3 |
      Franco  |   .3721689    .023405    15.90   0.000     .3262832    .4180546
     Catalan  |   -.118246   .0231973    -5.10   0.000    -.1637244   -.0727676
 Immigration  |  -.2717446   .0228021   -11.92   0.000    -.3164482   -.2270409
    Feminism  |  -.2943055   .0228306   -12.89   0.000    -.3390651   -.2495459
      Unions  |  -.2105029   .0237889    -8.85   0.000    -.2571412   -.1638645
              |
       polint |    .301556   .0306276     9.85   0.000     .2415104    .3616016
        _cons |   3.144417   .1248761    25.18   0.000     2.899597    3.389237
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,872
-------------+----------------------------------   F(12, 3859)     =     82.66
       Model |  131.099023        12  10.9249186   Prob > F        =    0.0000
    Residual |  510.035016     3,859  .132167664   R-squared       =    0.2045
-------------+----------------------------------   Adj R-squared   =    0.2020
       Total |  641.134039     3,871  .165624913   Root MSE        =    .36355

-------------------------------------------------------------------------------
       donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.2770416   .0272794   -10.16   0.000     -.330525   -.2235582
     Catalan  |  -.1004638   .0277631    -3.62   0.000    -.1548955   -.0460321
 Immigration  |   .4183546   .0285437    14.66   0.000     .3623924    .4743168
    Feminism  |   .2168043    .028335     7.65   0.000     .1612513    .2723573
      Unions  |  -.0063959    .027693    -0.23   0.817    -.0606902    .0478984
              |
        ptv_3 |  -.0078187   .0042388    -1.84   0.065    -.0161293    .0004919
              |
treat#c.ptv_3 |
      Franco  |   .0327567   .0059453     5.51   0.000     .0211005    .0444129
     Catalan  |  -.0061597   .0059213    -1.04   0.298     -.017769    .0054496
 Immigration  |   -.056553   .0059461    -9.51   0.000    -.0682108   -.0448952
    Feminism  |  -.0424439   .0058956    -7.20   0.000    -.0540026   -.0308851
      Unions  |  -.0184897   .0060593    -3.05   0.002    -.0303694   -.0066101
              |
       polint |   .0406153   .0078941     5.15   0.000     .0251384    .0560923
        _cons |   .1189954   .0322622     3.69   0.000     .0557429    .1822479
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,394
-------------+----------------------------------   F(12, 4381)     =     99.21
       Model |  3726.37539        12  310.531282   Prob > F        =    0.0000
    Residual |  13712.6906     4,381  3.13003666   R-squared       =    0.2137
-------------+----------------------------------   Adj R-squared   =    0.2115
       Total |   17439.066     4,393  3.96973959   Root MSE        =    1.7692

-------------------------------------------------------------------------------
      support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -2.220353   .1354718   -16.39   0.000    -2.485947    -1.95476
     Catalan  |  -.8438224   .1374292    -6.14   0.000    -1.113253   -.5743916
 Immigration  |    .701991   .1329944     5.28   0.000     .4412548    .9627273
    Feminism  |   .4517347   .1329472     3.40   0.001     .1910909    .7123785
      Unions  |  -.2257412   .1347705    -1.68   0.094    -.4899595    .0384772
              |
        ptv_4 |   .0066671   .0310949     0.21   0.830    -.0542947    .0676289
              |
treat#c.ptv_4 |
      Franco  |   .0598115   .0449093     1.33   0.183    -.0282334    .1478563
     Catalan  |  -.1818827   .0470092    -3.87   0.000    -.2740445    -.089721
 Immigration  |  -.1562924   .0442045    -3.54   0.000    -.2429555   -.0696292
    Feminism  |  -.2873476   .0436962    -6.58   0.000    -.3730142    -.201681
      Unions  |  -.1817223   .0452543    -4.02   0.000    -.2704436   -.0930009
              |
       polint |   .3411156   .0365131     9.34   0.000     .2695315    .4126996
        _cons |   2.647615    .153099    17.29   0.000     2.347464    2.947767
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,875
-------------+----------------------------------   F(12, 3862)     =     41.47
       Model |  73.1983815        12  6.09986512   Prob > F        =    0.0000
    Residual |  568.067167     3,862  .147091447   R-squared       =    0.1141
-------------+----------------------------------   Adj R-squared   =    0.1114
       Total |  641.265548     3,874  .165530601   Root MSE        =    .38353

-------------------------------------------------------------------------------
       donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |   -.154524   .0304917    -5.07   0.000    -.2143055   -.0947425
     Catalan  |  -.0812563   .0314036    -2.59   0.010    -.1428255   -.0196871
 Immigration  |   .2938194    .031668     9.28   0.000     .2317318     .355907
    Feminism  |   .1562588   .0311355     5.02   0.000     .0952153    .2173024
      Unions  |  -.0083852   .0311727    -0.27   0.788    -.0695018    .0527314
              |
        ptv_4 |   .0073996   .0071838     1.03   0.303    -.0066848     .021484
              |
treat#c.ptv_4 |
      Franco  |  -.0086265   .0100925    -0.85   0.393    -.0284136    .0111605
     Catalan  |  -.0178591    .010616    -1.68   0.093    -.0386726    .0029543
 Immigration  |  -.0340015   .0104203    -3.26   0.001    -.0544314   -.0135716
    Feminism  |  -.0401109   .0100169    -4.00   0.000    -.0597498    -.020472
      Unions  |  -.0238239   .0103572    -2.30   0.021      -.04413   -.0035177
              |
       polint |   .0436979   .0083588     5.23   0.000     .0273098    .0600859
        _cons |   .0669954   .0352391     1.90   0.057    -.0020937    .1360845
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,390
-------------+----------------------------------   F(12, 4377)     =    307.38
       Model |  7966.90183        12  663.908486   Prob > F        =    0.0000
    Residual |  9453.70865     4,377  2.15986033   R-squared       =    0.4573
-------------+----------------------------------   Adj R-squared   =    0.4558
       Total |  17420.6105     4,389  3.96915254   Root MSE        =    1.4696

-------------------------------------------------------------------------------
      support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.6167312   .1272912    -4.85   0.000    -.8662863   -.3671761
     Catalan  |  -1.838167   .1255896   -14.64   0.000    -2.084386   -1.591947
 Immigration  |  -.7454676   .1234256    -6.04   0.000    -.9874443   -.5034909
    Feminism  |   -1.57923   .1231375   -12.82   0.000    -1.820642   -1.337819
      Unions  |  -1.511167   .1266069   -11.94   0.000    -1.759381   -1.262954
              |
        ptv_5 |   .1195219   .0150302     7.95   0.000      .090055    .1489888
              |
treat#c.ptv_5 |
      Franco  |  -.3064279   .0213028   -14.38   0.000    -.3481922   -.2646636
     Catalan  |   .1316443   .0215201     6.12   0.000      .089454    .1738346
 Immigration  |   .2314303   .0209738    11.03   0.000      .190311    .2725496
    Feminism  |   .3038803   .0211402    14.37   0.000     .2624347    .3453259
      Unions  |    .184361   .0214838     8.58   0.000      .142242    .2264801
              |
       polint |   .1587806   .0308283     5.15   0.000     .0983415    .2192198
        _cons |   2.703126   .1277467    21.16   0.000     2.452678    2.953574
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,871
-------------+----------------------------------   F(12, 3858)     =     86.56
       Model |  135.370631        12  11.2808859   Prob > F        =    0.0000
    Residual |  502.808135     3,858  .130328703   R-squared       =    0.2121
-------------+----------------------------------   Adj R-squared   =    0.2097
       Total |  638.178765     3,870  .164904074   Root MSE        =    .36101

-------------------------------------------------------------------------------
       donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
        treat |
      Franco  |  -.0585519   .0325294    -1.80   0.072    -.1223284    .0052247
     Catalan  |  -.1381443   .0322234    -4.29   0.000    -.2013208   -.0749678
 Immigration  |  -.0302409   .0327729    -0.92   0.356    -.0944948    .0340131
    Feminism  |  -.1406396   .0318451    -4.42   0.000    -.2030745   -.0782047
      Unions  |  -.1607731   .0326393    -4.93   0.000     -.224765   -.0967812
              |
        ptv_5 |   .0088207   .0039659     2.22   0.026     .0010452    .0165962
              |
treat#c.ptv_5 |
      Franco  |  -.0239246   .0054464    -4.39   0.000    -.0346027   -.0132465
     Catalan  |   .0032581   .0055903     0.58   0.560    -.0077021    .0142182
 Immigration  |   .0542707     .00565     9.61   0.000     .0431934    .0653479
    Feminism  |   .0487479   .0056439     8.64   0.000     .0376826    .0598133
      Unions  |   .0218065   .0056145     3.88   0.000     .0107989    .0328142
              |
       polint |   .0231404   .0079666     2.90   0.004     .0075212    .0387595
        _cons |   .1112227    .033173     3.35   0.001     .0461845     .176261
-------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.11_PTV_support.xls
dir : seeout

. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 7: Robustness tests: Additional model specifications
. 
. corr vote_3 vox_sup ptv_3
(obs=4,657)

             |   vote_3  vox_sup    ptv_3
-------------+---------------------------
      vote_3 |   1.0000
     vox_sup |   0.6535   1.0000
       ptv_3 |   0.6971   0.9498   1.0000


. 
. capture erase "${results}TableA.12_main_support_robust.xls"

. capture erase "${results}TableA.12_main_support_robust.txt"

. 
. capture erase "${results}TableA.13_main_donate_robust.xls"

. capture erase "${results}TableA.13_main_donate_robust.txt"

. 
. // Table A.12: Additional specifications. Outcome: Attitudinal support
. // Table A.13: Additional specifications. Outcome: Donation
. 
. foreach k of varlist vote_3 vox_sup {
  2. reg support i.treat##i.`k' 
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.12_main_support_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. reg donate i.treat##i.`k'
  6. estimates store M2_`k'
  7. outreg2  using "${results}TableA.13_main_donate_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. 
. reg support i.treat##i.`k'  $controls
  9. estimates store M3_`k'
 10. outreg2  using "${results}TableA.12_main_support_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 11. 
. reg donate i.treat##i.`k' $controls
 12. estimates store M4_`k'
 13. outreg2  using "${results}TableA.13_main_donate_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 14. 
. reg support i.treat##i.`k' polint i.region
 15. estimates store M5_`k'
 16. outreg2  using "${results}TableA.12_main_support_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 17. 
. reg donate i.treat##i.`k' polint i.region
 18. estimates store M6_`k'
 19. outreg2  using "${results}TableA.13_main_donate_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 20. 
. reg support i.treat##i.`k' polint i.ads
 21. estimates store M7_`k'
 22. outreg2  using "${results}TableA.12_main_support_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 23. 
. reg donate i.treat##i.`k' polint i.ads
 24. estimates store M8_`k'
 25. outreg2  using "${results}TableA.13_main_donate_robust.xls", ///
> bracket bdec(3) sdec(3) append label word 
 26. 
. }

      Source |       SS           df       MS      Number of obs   =     4,431
-------------+----------------------------------   F(11, 4419)     =    180.16
       Model |  5449.08642        11  495.371492   Prob > F        =    0.0000
    Residual |  12150.6432     4,419  2.74963639   R-squared       =    0.3096
-------------+----------------------------------   Adj R-squared   =    0.3079
       Total |  17599.7296     4,430  3.97285093   Root MSE        =    1.6582

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -2.476075   .0932597   -26.55   0.000    -2.658911    -2.29324
      Catalan  |  -1.137568   .0938455   -12.12   0.000    -1.321553   -.9535842
  Immigration  |   .6444076    .091812     7.02   0.000     .4644102     .824405
     Feminism  |   .0858548   .0920541     0.93   0.351    -.0946173     .266327
       Unions  |  -.4449688   .0924439    -4.81   0.000    -.6262052   -.2637323
               |
      1.vote_3 |  -.8850932   .1774648    -4.99   0.000    -1.233013   -.5371733
               |
  treat#vote_3 |
     Franco#1  |   3.146405   .2571717    12.23   0.000      2.64222     3.65059
    Catalan#1  |  -.6488394   .2504528    -2.59   0.010    -1.139852   -.1578264
Immigration#1  |  -1.828618   .2444855    -7.48   0.000    -2.307932   -1.349304
   Feminism#1  |  -1.835855   .2454555    -7.48   0.000    -2.317071   -1.354639
     Unions#1  |  -1.480957   .2640381    -5.61   0.000    -1.998604   -.9633102
               |
         _cons |   3.885093   .0653423    59.46   0.000     3.756989    4.013197
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,917
-------------+----------------------------------   F(11, 3905)     =     62.63
       Model |  97.5740904        11  8.87037186   Prob > F        =    0.0000
    Residual |  553.085088     3,905  .141635106   R-squared       =    0.1500
-------------+----------------------------------   Adj R-squared   =    0.1476
       Total |  650.659178     3,916  .166154029   Root MSE        =    .37634

--------------------------------------------------------------------------------
        donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -.2163767   .0220751    -9.80   0.000    -.2596564   -.1730969
      Catalan  |  -.1237781   .0225014    -5.50   0.000    -.1678936   -.0796625
  Immigration  |   .2825222    .023075    12.24   0.000      .237282    .3277624
     Feminism  |    .095424   .0227597     4.19   0.000     .0508021     .140046
       Unions  |  -.0487673   .0224619    -2.17   0.030    -.0928055   -.0047292
               |
      1.vote_3 |  -.1061757   .0429668    -2.47   0.014    -.1904152   -.0219363
               |
  treat#vote_3 |
     Franco#1  |    .345913   .0608827     5.68   0.000     .2265481    .4652779
    Catalan#1  |   .0285506   .0591612     0.48   0.629    -.0874392    .1445403
Immigration#1  |  -.3230141   .0588221    -5.49   0.000     -.438339   -.2076891
   Feminism#1  |  -.2027326    .058385    -3.47   0.001    -.3172006   -.0882645
     Unions#1  |  -.0860641    .061832    -1.39   0.164    -.2072902     .035162
               |
         _cons |   .2410072   .0159606    15.10   0.000     .2097154     .272299
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,575
-------------+----------------------------------   F(22, 3552)     =     84.65
       Model |  4899.03016        22  222.683189   Prob > F        =    0.0000
    Residual |  9344.08873     3,552  2.63065561   R-squared       =    0.3440
-------------+----------------------------------   Adj R-squared   =    0.3399
       Total |  14243.1189     3,574  3.98520394   Root MSE        =    1.6219

-------------------------------------------------------------------------------------------------
                        support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                          treat |
                        Franco  |  -2.584701   .1008883   -25.62   0.000    -2.782506   -2.386896
                       Catalan  |  -1.203801   .1023454   -11.76   0.000    -1.404462   -1.003139
                   Immigration  |   .6492557   .1016322     6.39   0.000     .4499925     .848519
                      Feminism  |   .0390156   .1006079     0.39   0.698    -.1582394    .2362706
                        Unions  |  -.4958691   .1006256    -4.93   0.000    -.6931588   -.2985794
                                |
                       1.vote_3 |  -.6957377   .1901368    -3.66   0.000    -1.068526   -.3229493
                                |
                   treat#vote_3 |
                      Franco#1  |   3.104066    .278978    11.13   0.000     2.557093    3.651039
                     Catalan#1  |  -.7437927   .2707741    -2.75   0.006    -1.274681   -.2129044
                 Immigration#1  |  -2.083873   .2640059    -7.89   0.000    -2.601491   -1.566254
                    Feminism#1  |  -1.965554   .2613788    -7.52   0.000    -2.478022   -1.453086
                      Unions#1  |  -1.629595   .2871475    -5.68   0.000    -2.192586   -1.066605
                                |
                            age |  -.0013941   .0017954    -0.78   0.438    -.0049142     .002126
                         female |   .1485191   .0567677     2.62   0.009     .0372185    .2598197
                                |
                           educ |
                     secondary  |  -.0124863   .1230406    -0.10   0.919    -.2537237     .228751
                    vocational  |  -.1399002   .1231903    -1.14   0.256     -.381431    .1016307
                        degree  |   .0229269   .1183556     0.19   0.846    -.2091249    .2549787
                         Other  |    .072388   .2558734     0.28   0.777    -.4292855    .5740616
                                |
                         polint |   .3701699   .0387642     9.55   0.000     .2941675    .4461723
                         income |   .0016661   .0150327     0.11   0.912    -.0278075    .0311398
                                |
                       domicile |
               Una gran ciudad  |  -.1430169   .0825685    -1.73   0.083    -.3049033    .0188694
Las afueras de una gran ciudad  |   -.107204   .1017704    -1.05   0.292    -.3067384    .0923304
            Una ciudad pequeña  |  -.1260619   .0786106    -1.60   0.109    -.2801884    .0280647
                                |
                          _cons |   2.843488   .2126441    13.37   0.000     2.426571    3.260405
-------------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,192
-------------+----------------------------------   F(22, 3169)     =     28.79
       Model |  87.5081042        22   3.9776411   Prob > F        =    0.0000
    Residual |  437.782309     3,169  .138145254   R-squared       =    0.1666
-------------+----------------------------------   Adj R-squared   =    0.1608
       Total |  525.290414     3,191  .164616237   Root MSE        =    .37168

-------------------------------------------------------------------------------------------------
                         donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                          treat |
                        Franco  |  -.2170978   .0240714    -9.02   0.000     -.264295   -.1699006
                       Catalan  |  -.1117794   .0247975    -4.51   0.000    -.1604002   -.0631587
                   Immigration  |   .2885116   .0255709    11.28   0.000     .2383744    .3386489
                      Feminism  |   .1117356   .0250281     4.46   0.000     .0626627    .1608084
                        Unions  |  -.0480039     .02461    -1.95   0.051     -.096257    .0002492
                                |
                       1.vote_3 |  -.0677894   .0464351    -1.46   0.144    -.1588353    .0232565
                                |
                   treat#vote_3 |
                      Franco#1  |    .319189   .0665743     4.79   0.000     .1886559    .4497221
                     Catalan#1  |  -.0074602   .0643027    -0.12   0.908    -.1335393    .1186189
                 Immigration#1  |  -.3712602    .064098    -5.79   0.000    -.4969381   -.2455824
                    Feminism#1  |  -.2413809   .0628032    -3.84   0.000      -.36452   -.1182418
                      Unions#1  |  -.1151715    .067763    -1.70   0.089    -.2480354    .0176923
                                |
                            age |   .0004273   .0004309     0.99   0.321    -.0004176    .0012722
                         female |    .050548   .0138361     3.65   0.000     .0234194    .0776765
                                |
                           educ |
                     secondary  |  -.0289912   .0300303    -0.97   0.334     -.087872    .0298896
                    vocational  |  -.0579471   .0299284    -1.94   0.053    -.1166282    .0007339
                        degree  |  -.0411071   .0288437    -1.43   0.154    -.0976614    .0154471
                         Other  |   -.021414   .0632402    -0.34   0.735      -.14541    .1025819
                                |
                         polint |   .0507938   .0093764     5.42   0.000     .0324093    .0691783
                         income |  -.0062492   .0036143    -1.73   0.084    -.0133357    .0008373
                                |
                       domicile |
               Una gran ciudad  |  -.0249199   .0202699    -1.23   0.219    -.0646633    .0148236
Las afueras de una gran ciudad  |  -.0089238   .0248409    -0.36   0.719    -.0576298    .0397821
            Una ciudad pequeña  |  -.0130756   .0194036    -0.67   0.500    -.0511204    .0249693
                                |
                          _cons |   .1227457   .0514017     2.39   0.017     .0219617    .2235297
-------------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,384
-------------+----------------------------------   F(30, 4353)     =     72.77
       Model |  5807.62586        30  193.587529   Prob > F        =    0.0000
    Residual |  11580.0381     4,353  2.66024308   R-squared       =    0.3340
-------------+----------------------------------   Adj R-squared   =    0.3294
       Total |   17387.664     4,383  3.96706913   Root MSE        =     1.631

---------------------------------------------------------------------------------------------
                    support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------------+----------------------------------------------------------------
                      treat |
                    Franco  |  -2.522283   .0924701   -27.28   0.000    -2.703572   -2.340995
                   Catalan  |  -1.147691   .0929835   -12.34   0.000    -1.329986   -.9653961
               Immigration  |   .6536436   .0909957     7.18   0.000     .4752457    .8320414
                  Feminism  |   .0985972    .091289     1.08   0.280    -.0803758    .2775702
                    Unions  |  -.4717435   .0916278    -5.15   0.000    -.6513806   -.2921064
                            |
                   1.vote_3 |  -.8523676   .1750363    -4.87   0.000    -1.195528   -.5092073
                            |
               treat#vote_3 |
                  Franco#1  |   3.200233   .2537111    12.61   0.000      2.70283    3.697636
                 Catalan#1  |  -.6436526   .2476692    -2.60   0.009     -1.12921   -.1580948
             Immigration#1  |  -1.878635   .2415755    -7.78   0.000    -2.352246   -1.405024
                Feminism#1  |   -1.87123   .2421829    -7.73   0.000    -2.346032   -1.396428
                  Unions#1  |   -1.48934   .2613177    -5.70   0.000    -2.001656   -.9770244
                            |
                     polint |   .3576571   .0335981    10.65   0.000     .2917877    .4235264
                            |
                     region |
                    Aragón  |   -.151222   .1244808    -1.21   0.224    -.3952677    .0928238
    Principado de Asturias  |  -.2546086   .1073166    -2.37   0.018    -.4650039   -.0442133
            Islas Baleares  |   .1462628   .1439391     1.02   0.310    -.1359311    .4284567
                  Canarias  |   .3047453   .9467085     0.32   0.748    -1.551285    2.160776
                 Cantabria  |  -.1463222   .4948197    -0.30   0.767    -1.116421    .8237763
        Castilla-La Mancha  |   .0451947   .1150541     0.39   0.694    -.1803698    .2707592
           Castilla y León  |   .0356393   .0945853     0.38   0.706    -.1497962    .2210747
                  Cataluña  |  -.4077994   .3184655    -1.28   0.200    -1.032154    .2165551
      Comunidad Valenciana  |   .1124203    .080296     1.40   0.162    -.0450008    .2698414
               Extremadura  |   .1661053   .1594538     1.04   0.298    -.1465054    .4787159
                   Galicia  |   .1827962   .4739609     0.39   0.700    -.7464084    1.112001
                  La Rioja  |   1.998252   1.156296     1.73   0.084    -.2686765     4.26518
       Comunidad de Madrid  |   .0234494   .0733842     0.32   0.749    -.1204209    .1673197
          Región de Murcia  |  -.0080964    .133936    -0.06   0.952    -.2706791    .2544862
Comunidad Foral de Navarra  |  -.4692836   .7315605    -0.64   0.521    -1.903515    .9649474
                País Vasco  |  -.2976078   .5466833    -0.54   0.586    -1.369385    .7741698
                     Ceuta  |   .1287216   .3788579     0.34   0.734    -.6140328     .871476
                   Melilla  |  -1.097678   .6195937    -1.77   0.077    -2.312397    .1170412
                            |
                      _cons |   2.718811   .1349637    20.14   0.000     2.454213    2.983409
---------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,870
-------------+----------------------------------   F(29, 3840)     =     25.66
       Model |  104.071381        29   3.5886683   Prob > F        =    0.0000
    Residual |  536.974872     3,840  .139837206   R-squared       =    0.1623
-------------+----------------------------------   Adj R-squared   =    0.1560
       Total |  641.046253     3,869   .16568784   Root MSE        =    .37395

---------------------------------------------------------------------------------------------
                     donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------------+----------------------------------------------------------------
                      treat |
                    Franco  |   -.224519    .022134   -10.14   0.000    -.2679146   -.1811235
                   Catalan  |  -.1248831   .0225596    -5.54   0.000     -.169113   -.0806531
               Immigration  |   .2800027   .0231127    12.11   0.000     .2346884    .3253169
                  Feminism  |   .0993893   .0228491     4.35   0.000     .0545918    .1441867
                    Unions  |  -.0541275   .0225122    -2.40   0.016    -.0982646   -.0099905
                            |
                   1.vote_3 |  -.1027418   .0428116    -2.40   0.016    -.1866775    -.018806
                            |
               treat#vote_3 |
                  Franco#1  |   .3571854   .0606963     5.88   0.000     .2381853    .4761855
                 Catalan#1  |   .0350739   .0591562     0.59   0.553    -.0809067    .1510544
             Immigration#1  |  -.3232525   .0587154    -5.51   0.000    -.4383689    -.208136
                Feminism#1  |  -.2040782   .0582513    -3.50   0.000    -.3182846   -.0898718
                  Unions#1  |  -.0824179   .0618407    -1.33   0.183    -.2036616    .0388259
                            |
                     polint |   .0456532   .0081199     5.62   0.000     .0297334     .061573
                            |
                     region |
                    Aragón  |  -.0062285   .0304058    -0.20   0.838    -.0658416    .0533846
    Principado de Asturias  |   .0232645   .0262889     0.88   0.376    -.0282771     .074806
            Islas Baleares  |   .0717068   .0352205     2.04   0.042     .0026542    .1407594
                  Canarias  |  -.1217632   .2171228    -0.56   0.575    -.5474502    .3039237
                 Cantabria  |  -.1476515   .1253639    -1.18   0.239    -.3934377    .0981348
        Castilla-La Mancha  |   .0552107    .027834     1.98   0.047     .0006399    .1097815
           Castilla y León  |   .0130456   .0229646     0.57   0.570    -.0319785    .0580696
                  Cataluña  |  -.0068552   .0826054    -0.08   0.934    -.1688099    .1550994
      Comunidad Valenciana  |   .0457946   .0196293     2.33   0.020     .0073097    .0842794
               Extremadura  |   .0714037   .0401693     1.78   0.076    -.0073514    .1501589
                   Galicia  |   .0916504   .1254176     0.73   0.465     -.154241    .3375419
       Comunidad de Madrid  |   .0389358   .0178768     2.18   0.029     .0038868    .0739848
          Región de Murcia  |   .0241145   .0322755     0.75   0.455    -.0391643    .0873933
Comunidad Foral de Navarra  |  -.1939618   .1874981    -1.03   0.301    -.5615672    .1736435
                País Vasco  |   .0261259   .1190368     0.22   0.826    -.2072555    .2595073
                     Ceuta  |  -.0158915   .0893145    -0.18   0.859        -.191     .159217
                   Melilla  |   -.197963   .1421329    -1.39   0.164    -.4766263    .0807002
                            |
                      _cons |   .0675767   .0325909     2.07   0.038     .0036797    .1314738
---------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,358
-------------+----------------------------------   F(15, 4342)     =    142.03
       Model |  5695.20307        15  379.680204   Prob > F        =    0.0000
    Residual |  11607.4541     4,342  2.67329666   R-squared       =    0.3292
-------------+----------------------------------   Adj R-squared   =    0.3268
       Total |  17302.6572     4,357  3.97123185   Root MSE        =     1.635

-----------------------------------------------------------------------------------
          support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
            treat |
          Franco  |  -2.496606   .0927587   -26.92   0.000     -2.67846   -2.314751
         Catalan  |  -1.108925   .0934114   -11.87   0.000    -1.292059   -.9257905
     Immigration  |   .6660819   .0913448     7.29   0.000     .4869995    .8451643
        Feminism  |   .0951928    .091613     1.04   0.299    -.0844154    .2748011
          Unions  |  -.4405193   .0919295    -4.79   0.000    -.6207481   -.2602906
                  |
         1.vote_3 |  -.7709592    .177743    -4.34   0.000    -1.119426   -.4224921
                  |
     treat#vote_3 |
        Franco#1  |   3.068338   .2568074    11.95   0.000     2.564864    3.571811
       Catalan#1  |  -.7304728   .2489494    -2.93   0.003    -1.218541   -.2424048
   Immigration#1  |  -1.921242   .2439712    -7.87   0.000     -2.39955   -1.442934
      Feminism#1  |  -1.928018   .2445799    -7.88   0.000    -2.407519   -1.448516
        Unions#1  |  -1.550665   .2647318    -5.86   0.000    -2.069674   -1.031655
                  |
           polint |   .3845727   .0355205    10.83   0.000     .3149343     .454211
                  |
              ads |
   No incentives  |  -.2467982   .0978767    -2.52   0.012    -.4386865     -.05491
 Incentives: low  |  -.1867827   .1438715    -1.30   0.194    -.4688443    .0952789
Incentives: high  |   .0261132   .1325131     0.20   0.844    -.2336801    .2859065
                  |
            _cons |   2.829806   .1608888    17.59   0.000     2.514382     3.14523
-----------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,845
-------------+----------------------------------   F(15, 3829)     =     48.96
       Model |  102.616895        15  6.84112632   Prob > F        =    0.0000
    Residual |  535.007553     3,829  .139725138   R-squared       =    0.1609
-------------+----------------------------------   Adj R-squared   =    0.1576
       Total |  637.624447     3,844  .165875246   Root MSE        =     .3738

-----------------------------------------------------------------------------------
           donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
            treat |
          Franco  |  -.2253673   .0221055   -10.20   0.000    -.2687069   -.1820276
         Catalan  |  -.1252963    .022569    -5.55   0.000    -.1695448   -.0810478
     Immigration  |   .2770409   .0231106    11.99   0.000     .2317307    .3223511
        Feminism  |    .099397   .0228221     4.36   0.000     .0546525    .1441416
          Unions  |  -.0531163   .0224882    -2.36   0.018    -.0972063   -.0090262
                  |
         1.vote_3 |  -.0939886   .0434192    -2.16   0.030    -.1791156   -.0088616
                  |
     treat#vote_3 |
        Franco#1  |   .3318339   .0613205     5.41   0.000     .2116099    .4520579
       Catalan#1  |   .0238503   .0593114     0.40   0.688    -.0924347    .1401353
   Immigration#1  |  -.3282978   .0591891    -5.55   0.000    -.4443429   -.2122526
      Feminism#1  |  -.2197411   .0586914    -3.74   0.000    -.3348105   -.1046717
        Unions#1  |  -.0903734   .0624942    -1.45   0.148    -.2128986    .0321518
                  |
           polint |   .0556231   .0085072     6.54   0.000     .0389441    .0723021
                  |
              ads |
   No incentives  |   .0104624   .0240746     0.43   0.664    -.0367379    .0576627
 Incentives: low  |   .0350293   .0351652     1.00   0.319     -.033915    .1039737
Incentives: high  |   .1084809    .033048     3.28   0.001     .0436875    .1732742
                  |
            _cons |   .0440437    .038739     1.14   0.256    -.0319074    .1199948
-----------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,410
-------------+----------------------------------   F(11, 4398)     =    249.35
       Model |  6733.41349        11  612.128499   Prob > F        =    0.0000
    Residual |  10796.6273     4,398   2.4548948   R-squared       =    0.3841
-------------+----------------------------------   Adj R-squared   =    0.3826
       Total |  17530.0408     4,409  3.97596752   Root MSE        =    1.5668

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -2.714796   .0945448   -28.71   0.000    -2.900152   -2.529441
      Catalan  |   -.975116   .0949194   -10.27   0.000    -1.161206   -.7890261
  Immigration  |   .8220818    .092291     8.91   0.000     .6411449    1.003019
     Feminism  |   .3461844   .0928506     3.73   0.000     .1641505    .5282184
       Unions  |  -.3281537   .0929325    -3.53   0.000    -.5103483   -.1459592
               |
     1.vox_sup |  -.8823565   .1351114    -6.53   0.000    -1.147243     -.61747
               |
 treat#vox_sup |
     Franco#1  |    2.56265   .1911159    13.41   0.000     2.187967    2.937333
    Catalan#1  |  -.8907057   .1909094    -4.67   0.000    -1.264984   -.5164272
Immigration#1  |  -1.832651   .1888498    -9.70   0.000    -2.202892    -1.46241
   Feminism#1  |    -2.0209   .1880303   -10.75   0.000    -2.389535   -1.652266
     Unions#1  |  -1.369744   .1965446    -6.97   0.000    -1.755071    -.984418
               |
         _cons |   3.978947   .0656265    60.63   0.000     3.850286    4.107608
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,896
-------------+----------------------------------   F(11, 3884)     =     79.95
       Model |  119.416508        11  10.8560462   Prob > F        =    0.0000
    Residual |  527.416911     3,884  .135792202   R-squared       =    0.1846
-------------+----------------------------------   Adj R-squared   =    0.1823
       Total |  646.833419     3,895   .16606763   Root MSE        =     .3685

--------------------------------------------------------------------------------
        donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -.2323582   .0232035   -10.01   0.000    -.2778503   -.1868661
      Catalan  |  -.1072065   .0236518    -4.53   0.000    -.1535776   -.0608354
  Immigration  |   .3379657   .0242256    13.95   0.000     .2904696    .3854619
     Feminism  |   .1508844   .0240011     6.29   0.000     .1038284    .1979403
       Unions  |  -.0361912   .0234955    -1.54   0.124    -.0822558    .0098735
               |
     1.vox_sup |  -.0771858   .0338929    -2.28   0.023    -.1436353   -.0107363
               |
 treat#vox_sup |
     Franco#1  |   .2459241   .0468866     5.25   0.000     .1539994    .3378488
    Catalan#1  |  -.0369883   .0468268    -0.79   0.430    -.1287957    .0548191
Immigration#1  |  -.4034419   .0475986    -8.48   0.000    -.4967626   -.3101212
   Feminism#1  |  -.2854655    .046612    -6.12   0.000    -.3768518   -.1940792
     Unions#1  |  -.0971422   .0482471    -2.01   0.044    -.1917342   -.0025501
               |
         _cons |   .2438525   .0166812    14.62   0.000     .2111477    .2765572
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,560
-------------+----------------------------------   F(22, 3537)     =    113.32
       Model |  5867.80734        22  266.718515   Prob > F        =    0.0000
    Residual |  8325.08002     3,537  2.35371219   R-squared       =    0.4134
-------------+----------------------------------   Adj R-squared   =    0.4098
       Total |  14192.8874     3,559  3.98788631   Root MSE        =    1.5342

-------------------------------------------------------------------------------------------------
                        support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                          treat |
                        Franco  |  -2.835374   .1023963   -27.69   0.000    -3.036136   -2.634612
                       Catalan  |   -1.04719   .1037586   -10.09   0.000    -1.250623   -.8437573
                   Immigration  |    .842693   .1023883     8.23   0.000     .6419469    1.043439
                      Feminism  |   .2714746   .1012686     2.68   0.007     .0729239    .4700254
                        Unions  |   -.384821   .1010626    -3.81   0.000    -.5829678   -.1866741
                                |
                      1.vox_sup |  -.7857845    .146777    -5.35   0.000    -1.073561   -.4980084
                                |
                  treat#vox_sup |
                      Franco#1  |   2.550797    .206277    12.37   0.000     2.146363     2.95523
                     Catalan#1  |  -.9369158   .2074219    -4.52   0.000    -1.343594   -.5302371
                 Immigration#1  |  -2.013938   .2066155    -9.75   0.000    -2.419035    -1.60884
                    Feminism#1  |  -2.023559   .2041286    -9.91   0.000    -2.423781   -1.623338
                      Unions#1  |   -1.43017   .2139937    -6.68   0.000    -1.849733   -1.010606
                                |
                            age |  -.0013612   .0017051    -0.80   0.425    -.0047043    .0019819
                         female |   .1106147   .0538446     2.05   0.040     .0050451    .2161842
                                |
                           educ |
                     secondary  |    .067166   .1169021     0.57   0.566    -.1620363    .2963684
                    vocational  |   -.023598   .1171362    -0.20   0.840    -.2532592    .2060633
                        degree  |   .0980232   .1123412     0.87   0.383    -.1222368    .3182832
                         Other  |   .3117046   .2399928     1.30   0.194    -.1588337    .7822429
                                |
                         polint |   .3031713   .0369051     8.21   0.000     .2308139    .3755287
                         income |  -.0011929   .0142261    -0.08   0.933    -.0290852    .0266993
                                |
                       domicile |
               Una gran ciudad  |  -.0785181   .0782884    -1.00   0.316    -.2320131    .0749769
Las afueras de una gran ciudad  |  -.0098213   .0964693    -0.10   0.919    -.1989624    .1793199
            Una ciudad pequeña  |  -.1199797   .0745772    -1.61   0.108    -.2661983     .026239
                                |
                          _cons |   3.071607   .2040934    15.05   0.000     2.671454     3.47176
-------------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,175
-------------+----------------------------------   F(22, 3152)     =     35.37
       Model |  103.636202        22  4.71073643   Prob > F        =    0.0000
    Residual |  419.750885     3,152  .133169697   R-squared       =    0.1980
-------------+----------------------------------   Adj R-squared   =    0.1924
       Total |  523.387087     3,174  .164898263   Root MSE        =    .36492

-------------------------------------------------------------------------------------------------
                         donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                          treat |
                        Franco  |  -.2411478   .0253847    -9.50   0.000    -.2909201   -.1913756
                       Catalan  |   -.105124   .0262302    -4.01   0.000    -.1565539   -.0536941
                   Immigration  |   .3349809   .0269308    12.44   0.000     .2821771    .3877846
                      Feminism  |   .1537709   .0263893     5.83   0.000     .1020289    .2055129
                        Unions  |  -.0472034   .0258077    -1.83   0.067     -.097805    .0033982
                                |
                      1.vox_sup |  -.0854764    .037068    -2.31   0.021    -.1581563   -.0127965
                                |
                  treat#vox_sup |
                      Franco#1  |   .2527691   .0510805     4.95   0.000     .1526147    .3529235
                     Catalan#1  |  -.0209308    .051285    -0.41   0.683    -.1214861    .0796245
                 Immigration#1  |  -.3958658   .0525431    -7.53   0.000    -.4988879   -.2928437
                    Feminism#1  |  -.2676718   .0510722    -5.24   0.000    -.3678098   -.1675337
                      Unions#1  |  -.0735475   .0529009    -1.39   0.165    -.1772712    .0301761
                                |
                            age |   .0004225   .0004252     0.99   0.321    -.0004112    .0012562
                         female |   .0460654     .01364     3.38   0.001     .0193212    .0728095
                                |
                           educ |
                     secondary  |  -.0262399   .0296132    -0.89   0.376     -.084303    .0318233
                    vocational  |  -.0471113   .0295485    -1.59   0.111    -.1050476     .010825
                        degree  |  -.0364511   .0284187    -1.28   0.200    -.0921722      .01927
                         Other  |   .0154391   .0614781     0.25   0.802    -.1051021    .1359803
                                |
                         polint |   .0433327   .0092696     4.67   0.000     .0251578    .0615077
                         income |  -.0063571   .0035539    -1.79   0.074    -.0133254    .0006111
                                |
                       domicile |
               Una gran ciudad  |  -.0189527   .0199457    -0.95   0.342    -.0580605    .0201551
Las afueras de una gran ciudad  |  -.0013045   .0244675    -0.05   0.957    -.0492784    .0466694
            Una ciudad pequeña  |  -.0161828   .0191173    -0.85   0.397    -.0536664    .0213008
                                |
                          _cons |   .1540772   .0512671     3.01   0.003     .0535569    .2545974
-------------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,363
-------------+----------------------------------   F(30, 4332)     =     97.70
       Model |  6986.15877        30  232.871959   Prob > F        =    0.0000
    Residual |  10325.1779     4,332  2.38346674   R-squared       =    0.4036
-------------+----------------------------------   Adj R-squared   =    0.3994
       Total |  17311.3367     4,362  3.96866958   Root MSE        =    1.5438

---------------------------------------------------------------------------------------------
                    support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------------+----------------------------------------------------------------
                      treat |
                    Franco  |  -2.744111   .0939231   -29.22   0.000    -2.928248   -2.559973
                   Catalan  |  -.9969015   .0943905   -10.56   0.000    -1.181955   -.8118478
               Immigration  |   .8205115   .0916465     8.95   0.000     .6408374    1.000186
                  Feminism  |   .3535322   .0922777     3.83   0.000     .1726207    .5344437
                    Unions  |  -.3485783   .0923917    -3.77   0.000    -.5297132   -.1674433
                            |
                  1.vox_sup |  -.8603761    .133622    -6.44   0.000    -1.122344   -.5984086
                            |
              treat#vox_sup |
                  Franco#1  |   2.569391   .1890895    13.59   0.000     2.198679    2.940103
                 Catalan#1  |  -.8433972   .1891937    -4.46   0.000    -1.214314   -.4724807
             Immigration#1  |  -1.840215    .187196    -9.83   0.000    -2.207215   -1.473215
                Feminism#1  |  -2.030573   .1861807   -10.91   0.000    -2.395582   -1.665563
                  Unions#1  |  -1.383621   .1950566    -7.09   0.000    -1.766031    -1.00121
                            |
                     polint |   .3047114   .0320902     9.50   0.000      .241798    .3676247
                            |
                     region |
                    Aragón  |  -.1381232   .1187746    -1.16   0.245    -.3709821    .0947358
    Principado de Asturias  |    -.26602   .1021449    -2.60   0.009    -.4662762   -.0657638
            Islas Baleares  |   .0957105   .1368828     0.70   0.484    -.1726498    .3640708
                  Canarias  |   .0700506    .894763     0.08   0.938    -1.684143    1.824244
                 Cantabria  |  -.2687773   .4684683    -0.57   0.566    -1.187215    .6496604
        Castilla-La Mancha  |   .0913387   .1083636     0.84   0.399    -.1211094    .3037868
           Castilla y León  |   .0116736   .0898153     0.13   0.897    -.1644104    .1877576
                  Cataluña  |  -.0320629   .3014134    -0.11   0.915    -.6229874    .5588617
      Comunidad Valenciana  |   .0661831   .0762608     0.87   0.386    -.0833271    .2156933
               Extremadura  |   .1175798   .1520904     0.77   0.440    -.1805952    .4157547
                   Galicia  |   .5084835   .4487035     1.13   0.257     -.371205    1.388172
                  La Rioja  |   1.793208   1.094803     1.64   0.102    -.3531669    3.939583
       Comunidad de Madrid  |    .038641   .0697015     0.55   0.579    -.0980095    .1752916
          Región de Murcia  |  -.0392825   .1268654    -0.31   0.757    -.2880035    .2094386
Comunidad Foral de Navarra  |  -.5955397    .692556    -0.86   0.390    -1.953304    .7622245
                País Vasco  |   -.303543   .5175809    -0.59   0.558    -1.318266    .7111804
                     Ceuta  |   .2082117   .3582977     0.58   0.561    -.4942352    .9106585
                   Melilla  |  -1.299604   .5862693    -2.22   0.027    -2.448992   -.1502161
                            |
                      _cons |   2.984848   .1311911    22.75   0.000     2.727647     3.24205
---------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,849
-------------+----------------------------------   F(29, 3819)     =     31.89
       Model |  124.228242        29  4.28373248   Prob > F        =    0.0000
    Residual |  512.991295     3,819  .134326079   R-squared       =    0.1950
-------------+----------------------------------   Adj R-squared   =    0.1888
       Total |  637.219538     3,848  .165597593   Root MSE        =    .36651

---------------------------------------------------------------------------------------------
                     donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
----------------------------+----------------------------------------------------------------
                      treat |
                    Franco  |  -.2375933   .0232828   -10.20   0.000    -.2832413   -.1919453
                   Catalan  |  -.1091553   .0237706    -4.59   0.000    -.1557595   -.0625511
               Immigration  |    .333909   .0242918    13.75   0.000     .2862828    .3815351
                  Feminism  |   .1538732   .0241227     6.38   0.000     .1065785    .2011679
                    Unions  |  -.0405438   .0235934    -1.72   0.086    -.0868006     .005713
                            |
                  1.vox_sup |  -.0738301   .0338719    -2.18   0.029    -.1402388   -.0074214
                            |
              treat#vox_sup |
                  Franco#1  |   .2436597   .0468615     5.20   0.000     .1517837    .3355357
                 Catalan#1  |  -.0280053   .0468799    -0.60   0.550    -.1199173    .0639068
             Immigration#1  |  -.4000607   .0476459    -8.40   0.000    -.4934745    -.306647
                Feminism#1  |  -.2866495   .0466598    -6.14   0.000      -.37813   -.1951689
                  Unions#1  |  -.0996721   .0483662    -2.06   0.039    -.1944982   -.0048461
                            |
                     polint |   .0403643   .0080283     5.03   0.000     .0246241    .0561044
                            |
                     region |
                    Aragón  |   .0059162   .0300141     0.20   0.844    -.0529291    .0647614
    Principado de Asturias  |   .0229503   .0259657     0.88   0.377    -.0279577    .0738584
            Islas Baleares  |   .0708614   .0345762     2.05   0.040     .0030718    .1386509
                  Canarias  |  -.1294443   .2124982    -0.61   0.542    -.5460652    .2871766
                 Cantabria  |  -.1607887   .1228834    -1.31   0.191    -.4017121    .0801347
        Castilla-La Mancha  |   .0644341   .0271364     2.37   0.018     .0112309    .1176373
           Castilla y León  |   .0145371   .0226101     0.64   0.520    -.0297919     .058866
                  Cataluña  |     .04084   .0810185     0.50   0.614    -.1180037    .1996838
      Comunidad Valenciana  |   .0385486   .0192875     2.00   0.046     .0007339    .0763633
               Extremadura  |   .0683775   .0397618     1.72   0.086    -.0095789     .146334
                   Galicia  |   .0869422   .1228585     0.71   0.479    -.1539324    .3278168
       Comunidad de Madrid  |   .0428457   .0175979     2.43   0.015     .0083435    .0773479
          Región de Murcia  |   .0223499   .0316529     0.71   0.480    -.0397083    .0844081
Comunidad Foral de Navarra  |  -.2062966   .1837959    -1.12   0.262    -.5666442     .154051
                País Vasco  |  -.0040405   .1167209    -0.03   0.972    -.2328819    .2248008
                     Ceuta  |   .0018074   .0874734     0.02   0.984    -.1696916    .1733064
                   Melilla  |  -.2170389   .1392598    -1.56   0.119    -.4900697     .055992
                            |
                      _cons |   .0859966   .0328533     2.62   0.009     .0215848    .1504083
---------------------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     4,338
-------------+----------------------------------   F(15, 4322)     =    191.25
       Model |  6876.79285        15  458.452857   Prob > F        =    0.0000
    Residual |  10360.4105     4,322  2.39713338   R-squared       =    0.3990
-------------+----------------------------------   Adj R-squared   =    0.3969
       Total |  17237.2033     4,337  3.97445315   Root MSE        =    1.5483

-----------------------------------------------------------------------------------
          support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
            treat |
          Franco  |  -2.738777   .0943018   -29.04   0.000    -2.923657   -2.553897
         Catalan  |  -.9728691   .0946013   -10.28   0.000    -1.158336    -.787402
     Immigration  |   .8313702   .0920371     9.03   0.000     .6509301     1.01181
        Feminism  |   .3328805   .0925769     3.60   0.000     .1513823    .5143787
          Unions  |  -.3283352   .0926632    -3.54   0.000    -.5100025   -.1466679
                  |
        1.vox_sup |   -.832183   .1349752    -6.17   0.000    -1.096804   -.5675624
                  |
    treat#vox_sup |
        Franco#1  |   2.537858   .1906181    13.31   0.000     2.164149    2.911567
       Catalan#1  |  -.8761062     .19072    -4.59   0.000    -1.250015   -.5021972
   Immigration#1  |  -1.866419   .1884306    -9.91   0.000     -2.23584   -1.496998
      Feminism#1  |  -2.018987   .1877591   -10.75   0.000    -2.387091   -1.650882
        Unions#1  |  -1.404673   .1967072    -7.14   0.000     -1.79032   -1.019026
                  |
           polint |   .3327779    .033878     9.82   0.000     .2663595    .3991962
                  |
              ads |
   No incentives  |  -.1968532   .0925213    -2.13   0.033    -.3782424   -.0154641
 Incentives: low  |   -.147974   .1365353    -1.08   0.279    -.4156533    .1197052
Incentives: high  |   .0851564   .1259074     0.68   0.499    -.1616867    .3319994
                  |
            _cons |   3.049977   .1537725    19.83   0.000     2.748504     3.35145
-----------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.12_main_support_robust.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =     3,824
-------------+----------------------------------   F(15, 3808)     =     61.35
       Model |  123.351556        15  8.22343708   Prob > F        =    0.0000
    Residual |  510.446561     3,808  .134045841   R-squared       =    0.1946
-------------+----------------------------------   Adj R-squared   =    0.1915
       Total |  633.798117     3,823  .165785539   Root MSE        =    .36612

-----------------------------------------------------------------------------------
           donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
            treat |
          Franco  |    -.24178   .0232655   -10.39   0.000     -.287394    -.196166
         Catalan  |  -.1115267   .0237217    -4.70   0.000    -.1580351   -.0650183
     Immigration  |   .3306602   .0242966    13.61   0.000     .2830246    .3782957
        Feminism  |   .1534577   .0240733     6.37   0.000     .1062599    .2006555
          Unions  |  -.0403214    .023551    -1.71   0.087    -.0864952    .0058524
                  |
        1.vox_sup |  -.0711419   .0339694    -2.09   0.036    -.1377419   -.0045419
                  |
    treat#vox_sup |
        Franco#1  |   .2404663   .0469709     5.12   0.000     .1483758    .3325569
       Catalan#1  |  -.0321335   .0470008    -0.68   0.494    -.1242827    .0600157
   Immigration#1  |  -.4016539   .0477308    -8.41   0.000    -.4952343   -.3080735
      Feminism#1  |  -.2933139   .0467687    -6.27   0.000    -.3850081   -.2016197
        Unions#1  |  -.1024275    .048512    -2.11   0.035    -.1975394   -.0073156
                  |
           polint |   .0506631   .0083961     6.03   0.000     .0342018    .0671244
                  |
              ads |
   No incentives  |   .0195965   .0235628     0.83   0.406    -.0266004    .0657933
 Incentives: low  |   .0478778   .0345637     1.39   0.166    -.0198874     .115643
Incentives: high  |   .1182731   .0324684     3.64   0.000     .0546159    .1819302
                  |
            _cons |   .0545728   .0384173     1.42   0.156    -.0207477    .1298933
-----------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.13_main_donate_robust.xls
dir : seeout

. 
. sum $controls

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
         age |      4,861    48.06645     15.7159         18         77
      female |      4,781    .3992889    .4898035          0          1
             |
        educ |
 No/primary  |      4,974    .0693607     .254092          0          1
  secondary  |      4,974    .2147165    .4106668          0          1
 vocational  |      4,974    .2102935     .407558          0          1
-------------+---------------------------------------------------------
     degree  |      4,974    .4891435    .4999324          0          1
      Other  |      4,974    .0164857    .1273468          0          1
             |
      polint |      4,675    3.244706    .7507031          1          4
      income |      3,930    6.474809    1.986721          1         11
             |
    domicile |
Una gran ..  |      4,963    .3137215    .4640514          0          1
-------------+---------------------------------------------------------
Las afuer..  |      4,963    .1223051    .3276708          0          1
Una ciuda..  |      4,963    .3925045    .4883572          0          1

. 
. ** ----------------------------------------------------------
. ** APPENDIX 8: Cohort results: Coefficients and additional results
. tab birth 

      birth |      Freq.     Percent        Cum.
------------+-----------------------------------
       1944 |         20        0.41        0.41
       1945 |         15        0.31        0.72
       1946 |         26        0.53        1.25
       1947 |         37        0.76        2.02
       1948 |         35        0.72        2.74
       1949 |         37        0.76        3.50
       1950 |         43        0.88        4.38
       1951 |         59        1.21        5.60
       1952 |         89        1.83        7.43
       1953 |         61        1.25        8.68
       1954 |         84        1.73       10.41
       1955 |        122        2.51       12.92
       1956 |        139        2.86       15.78
       1957 |        104        2.14       17.92
       1958 |        118        2.43       20.35
       1959 |        108        2.22       22.57
       1960 |        102        2.10       24.67
       1961 |        169        3.48       28.14
       1962 |        139        2.86       31.00
       1963 |        127        2.61       33.61
       1964 |        133        2.74       36.35
       1965 |        106        2.18       38.53
       1966 |        122        2.51       41.04
       1967 |        151        3.11       44.15
       1968 |        115        2.37       46.51
       1969 |        121        2.49       49.00
       1970 |        101        2.08       51.08
       1971 |        142        2.92       54.00
       1972 |        104        2.14       56.14
       1973 |         90        1.85       57.99
       1974 |         91        1.87       59.86
       1975 |         85        1.75       61.61
       1976 |         93        1.91       63.53
       1977 |         57        1.17       64.70
       1978 |         56        1.15       65.85
       1979 |         68        1.40       67.25
       1980 |         55        1.13       68.38
       1981 |         66        1.36       69.74
       1982 |         49        1.01       70.75
       1983 |         45        0.93       71.67
       1984 |         45        0.93       72.60
       1985 |         44        0.91       73.50
       1986 |         48        0.99       74.49
       1987 |         72        1.48       75.97
       1988 |         74        1.52       77.49
       1989 |         83        1.71       79.20
       1990 |         79        1.63       80.83
       1991 |         71        1.46       82.29
       1992 |         77        1.58       83.87
       1993 |         75        1.54       85.41
       1994 |         75        1.54       86.96
       1995 |         73        1.50       88.46
       1996 |         56        1.15       89.61
       1997 |         64        1.32       90.93
       1998 |         50        1.03       91.96
       1999 |         63        1.30       93.25
       2000 |         59        1.21       94.47
       2001 |         63        1.30       95.76
       2002 |         78        1.60       97.37
       2003 |        128        2.63      100.00
------------+-----------------------------------
      Total |      4,861      100.00

. 
. 
. // Table A.14: Full results for Figure 3 (coefficients and standard errors)
. capture erase "${results}TableA.14_main_support_cohort.xls"

. capture erase "${results}TableA.14_main_support_cohort.txt"

. 
. reg support i.treat##i.vote_3##c.birth polint 

      Source |       SS           df       MS      Number of obs   =     4,307
-------------+----------------------------------   F(24, 4282)     =     89.94
       Model |  5738.33992        24  239.097497   Prob > F        =    0.0000
    Residual |  11383.7102     4,282  2.65850309   R-squared       =    0.3351
-------------+----------------------------------   Adj R-squared   =    0.3314
       Total |  17122.0502     4,306  3.97632377   Root MSE        =    1.6305

--------------------------------------------------------------------------------------
             support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------------+----------------------------------------------------------------
               treat |
             Franco  |   3.782967   11.68357     0.32   0.746    -19.12288    26.68881
            Catalan  |   -13.9468   12.06364    -1.16   0.248    -37.59778    9.704185
        Immigration  |   27.04691   11.51106     2.35   0.019     4.479266    49.61456
           Feminism  |   17.26061   11.74801     1.47   0.142    -5.771581     40.2928
             Unions  |   12.74906   11.67299     1.09   0.275    -10.13604    35.63416
                     |
            1.vote_3 |   59.57012    24.6247     2.42   0.016     11.29294    107.8473
                     |
        treat#vote_3 |
           Franco#1  |  -51.34323   35.94814    -1.43   0.153    -121.8202    19.13375
          Catalan#1  |  -57.92288   33.37146    -1.74   0.083    -123.3482    7.502483
      Immigration#1  |  -105.7428    33.3038    -3.18   0.002    -171.0356   -40.45013
         Feminism#1  |  -78.90488   34.18685    -2.31   0.021    -145.9288   -11.88095
           Unions#1  |  -60.06769   34.72314    -1.73   0.084     -128.143    8.007656
                     |
               birth |   .0065503   .0042214     1.55   0.121    -.0017258    .0148264
                     |
       treat#c.birth |
             Franco  |  -.0031935   .0059213    -0.54   0.590    -.0148024    .0084153
            Catalan  |   .0064854   .0061153     1.06   0.289    -.0055037    .0184746
        Immigration  |  -.0133742   .0058343    -2.29   0.022    -.0248124    -.001936
           Feminism  |  -.0087047   .0059548    -1.46   0.144    -.0203791    .0029698
             Unions  |  -.0066959    .005917    -1.13   0.258    -.0182963    .0049045
                     |
      vote_3#c.birth |
                  1  |  -.0306101   .0124757    -2.45   0.014    -.0550689   -.0061512
                     |
treat#vote_3#c.birth |
           Franco#1  |    .027621   .0182189     1.52   0.130    -.0080976    .0633395
          Catalan#1  |   .0289939   .0169046     1.72   0.086    -.0041479    .0621357
      Immigration#1  |   .0526203   .0168661     3.12   0.002      .019554    .0856865
         Feminism#1  |    .039032   .0173181     2.25   0.024     .0050795    .0729844
           Unions#1  |   .0296792   .0175958     1.69   0.092    -.0048177    .0641762
                     |
              polint |   .3607904   .0338298    10.66   0.000     .2944663    .4271144
               _cons |  -10.20266   8.329503    -1.22   0.221     -26.5328     6.12748
--------------------------------------------------------------------------------------

. outreg2  using "${results}TableA.14_main_support_cohort.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.14_main_support_cohort.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.14_main_support_cohort.xls
dir : seeout

. 
. 
. // Figure A.4: Franco treatment effects by cohorts
. 
. capture drop cohort_cat

. tab birth

      birth |      Freq.     Percent        Cum.
------------+-----------------------------------
       1944 |         20        0.41        0.41
       1945 |         15        0.31        0.72
       1946 |         26        0.53        1.25
       1947 |         37        0.76        2.02
       1948 |         35        0.72        2.74
       1949 |         37        0.76        3.50
       1950 |         43        0.88        4.38
       1951 |         59        1.21        5.60
       1952 |         89        1.83        7.43
       1953 |         61        1.25        8.68
       1954 |         84        1.73       10.41
       1955 |        122        2.51       12.92
       1956 |        139        2.86       15.78
       1957 |        104        2.14       17.92
       1958 |        118        2.43       20.35
       1959 |        108        2.22       22.57
       1960 |        102        2.10       24.67
       1961 |        169        3.48       28.14
       1962 |        139        2.86       31.00
       1963 |        127        2.61       33.61
       1964 |        133        2.74       36.35
       1965 |        106        2.18       38.53
       1966 |        122        2.51       41.04
       1967 |        151        3.11       44.15
       1968 |        115        2.37       46.51
       1969 |        121        2.49       49.00
       1970 |        101        2.08       51.08
       1971 |        142        2.92       54.00
       1972 |        104        2.14       56.14
       1973 |         90        1.85       57.99
       1974 |         91        1.87       59.86
       1975 |         85        1.75       61.61
       1976 |         93        1.91       63.53
       1977 |         57        1.17       64.70
       1978 |         56        1.15       65.85
       1979 |         68        1.40       67.25
       1980 |         55        1.13       68.38
       1981 |         66        1.36       69.74
       1982 |         49        1.01       70.75
       1983 |         45        0.93       71.67
       1984 |         45        0.93       72.60
       1985 |         44        0.91       73.50
       1986 |         48        0.99       74.49
       1987 |         72        1.48       75.97
       1988 |         74        1.52       77.49
       1989 |         83        1.71       79.20
       1990 |         79        1.63       80.83
       1991 |         71        1.46       82.29
       1992 |         77        1.58       83.87
       1993 |         75        1.54       85.41
       1994 |         75        1.54       86.96
       1995 |         73        1.50       88.46
       1996 |         56        1.15       89.61
       1997 |         64        1.32       90.93
       1998 |         50        1.03       91.96
       1999 |         63        1.30       93.25
       2000 |         59        1.21       94.47
       2001 |         63        1.30       95.76
       2002 |         78        1.60       97.37
       2003 |        128        2.63      100.00
------------+-----------------------------------
      Total |      4,861      100.00

. recode birth (1944/1955=1 "Franco") (1956/1969=2 "Transition") (1970/2004=3 "Democratic"), gen(cohort_cat)
(4,861 differences between birth and cohort_cat)

. tab cohort_cat vote_3 if treat<2, row  // Vox voters in treatment: 21 Franco coh, 67 transition cohort, 117 post-Franco coh

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

 RECODE of |     vote2019==Vox
     birth |         0          1 |     Total
-----------+----------------------+----------
    Franco |       159         21 |       180 
           |     88.33      11.67 |    100.00 
-----------+----------------------+----------
Transition |       483         67 |       550 
           |     87.82      12.18 |    100.00 
-----------+----------------------+----------
Democratic |       649        117 |       766 
           |     84.73      15.27 |    100.00 
-----------+----------------------+----------
     Total |     1,291        205 |     1,496 
           |     86.30      13.70 |    100.00 

. 
. 
. reg support i.treat##i.vote_3##i.cohort_cat polint 

      Source |       SS           df       MS      Number of obs   =     4,307
-------------+----------------------------------   F(36, 4270)     =     59.92
       Model |  5746.78367        36   159.63288   Prob > F        =    0.0000
    Residual |  11375.2665     4,270  2.66399683   R-squared       =    0.3356
-------------+----------------------------------   Adj R-squared   =    0.3300
       Total |  17122.0502     4,306  3.97632377   Root MSE        =    1.6322

-------------------------------------------------------------------------------------------
                  support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------+----------------------------------------------------------------
                    treat |
                  Franco  |  -2.344979   .2651464    -8.84   0.000    -2.864804   -1.825155
                 Catalan  |  -1.431254   .2667561    -5.37   0.000    -1.954235   -.9082735
             Immigration  |     .88351   .2651425     3.33   0.001     .3636928    1.403327
                Feminism  |   .3028717   .2614499     1.16   0.247    -.2097059    .8154494
                  Unions  |  -.3729129   .2614312    -1.43   0.154    -.8854538    .1396281
                          |
                 1.vote_3 |  -.7632512   .5089628    -1.50   0.134    -1.761083    .2345804
                          |
             treat#vote_3 |
                Franco#1  |   2.873542   .7909353     3.63   0.000     1.322897    4.424186
               Catalan#1  |  -.4581079    .731666    -0.63   0.531    -1.892553    .9763377
           Immigration#1  |  -2.712191   .7474644    -3.63   0.000    -4.177609   -1.246772
              Feminism#1  |  -2.210957   .8190978    -2.70   0.007    -3.816814   -.6050996
                Unions#1  |  -1.438631   .7895558    -1.82   0.069     -2.98657    .1093092
                          |
               cohort_cat |
              Transition  |   .1387407   .2189417     0.63   0.526    -.2904989    .5679802
              Democratic  |   .2609669   .2137682     1.22   0.222    -.1581299    .6800637
                          |
         treat#cohort_cat |
       Franco#Transition  |  -.1743141   .3057359    -0.57   0.569    -.7737155    .4250872
       Franco#Democratic  |  -.2123229   .2961037    -0.72   0.473    -.7928401    .3681942
      Catalan#Transition  |   .2221118   .3073892     0.72   0.470    -.3805308    .8247544
      Catalan#Democratic  |   .3853412   .2980547     1.29   0.196    -.1990008    .9696833
  Immigration#Transition  |    -.08939   .3043878    -0.29   0.769    -.6861482    .5073682
  Immigration#Democratic  |   -.375653   .2952713    -1.27   0.203    -.9545382    .2032322
     Feminism#Transition  |  -.1539182   .3031996    -0.51   0.612    -.7483471    .4405106
     Feminism#Democratic  |     -.3121    .291451    -1.07   0.284    -.8834954    .2592954
       Unions#Transition  |  -.0439922   .3008346    -0.15   0.884    -.6337844       .5458
       Unions#Democratic  |  -.1398208   .2928673    -0.48   0.633    -.7139929    .4343513
                          |
        vote_3#cohort_cat |
            1#Transition  |   .7195192   .6211263     1.16   0.247    -.4982111    1.937249
            1#Democratic  |  -.4107938   .5561963    -0.74   0.460    -1.501228    .6796401
                          |
  treat#vote_3#cohort_cat |
     Franco#1#Transition  |  -.3231675   .9118151    -0.35   0.723    -2.110799    1.464464
     Franco#1#Democratic  |   .5126972   .8639581     0.59   0.553     -1.18111    2.206504
    Catalan#1#Transition  |  -1.050146   .8704957    -1.21   0.228     -2.75677    .6564785
    Catalan#1#Democratic  |    .033026   .8003561     0.04   0.967    -1.536088     1.60214
Immigration#1#Transition  |  -.1262313   .8865029    -0.14   0.887    -1.864238    1.611775
Immigration#1#Democratic  |   1.398326   .8091714     1.73   0.084    -.1880703    2.984723
   Feminism#1#Transition  |  -.5964966   .9373407    -0.64   0.525    -2.434171    1.241178
   Feminism#1#Democratic  |   .7939272   .8775638     0.90   0.366    -.9265541    2.514408
     Unions#1#Transition  |  -.9090339   .9238784    -0.98   0.325    -2.720316     .902248
     Unions#1#Democratic  |   .2854468   .8644909     0.33   0.741    -1.409405    1.980298
                          |
                   polint |   .3604224   .0338973    10.63   0.000      .293966    .4268789
                    _cons |    2.53858   .2235635    11.36   0.000      2.10028    2.976881
-------------------------------------------------------------------------------------------

. *tab vote_3 if e(sample)
. 
. margins,  at(treat= 1  cohort_cat=(1 2 3) vote_3 =(0(1)1))  

Predictive margins                                       Number of obs = 4,307
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat      = 1
       vote_3     = 0
       cohort_cat = 1
2._at: treat      = 1
       vote_3     = 0
       cohort_cat = 2
3._at: treat      = 1
       vote_3     = 0
       cohort_cat = 3
4._at: treat      = 1
       vote_3     = 1
       cohort_cat = 1
5._at: treat      = 1
       vote_3     = 1
       cohort_cat = 2
6._at: treat      = 1
       vote_3     = 1
       cohort_cat = 3

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   1.371605   .1824889     7.52   0.000     1.013832    1.729379
          2  |   1.336032   .1105954    12.08   0.000     1.119208    1.552856
          3  |   1.420249   .0931712    15.24   0.000     1.237585    1.602913
          4  |   3.481896   .5774732     6.03   0.000     2.349748    4.614043
          5  |   3.842674   .2581008    14.89   0.000     3.336662    4.348686
          6  |   3.632443   .2489048    14.59   0.000     3.144461    4.120426
------------------------------------------------------------------------------

. marginsplot, ///
> yline(3.5) xtitle("Cohort", size(medlarge)) ylabel(1(1)6, labsize(medium)) xlabel(, labsize(medium) angle(45)) ytitle(Predicted support for Franco Fou
> ndation, size(medlarge)) recastci(rspike) recast(scatter)  legend(lab(3 "Non-VOX voters") lab(4 "VOX voters") size(medlarge) order(3 4 ) row(1) region
> (lcolor(white)) pos(2) ring(0)) title(" ")

Variables that uniquely identify margins: cohort_cat vote_3

. graph save  "${graphs}FigureA.4_Voxvote_pred_coh_cat.gph",  replace
(file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.4_Voxvote_pred_coh_cat.gph not found)
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.4_Voxvote_pred_coh_cat.gph saved

. graph export  "${graphs}FigureA.4_Voxvote_pred_coh_cat.pdf", as(pdf) replace
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.4_Voxvote_pred_coh_cat.pdf saved as PDF format

. 
. 
. // Figure A.5: Franco treatment effects by birth cohorts for VOX and PP voters
. tab vote2019

      Vote recall 2019 general election |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
Partido Socialista Obrero Español (PSOE |        932       19.81       19.81
                   Partido Popular (PP) |        533       11.33       31.14
                                    Vox |        647       13.75       44.90
                         Unidas Podemos |      1,481       31.48       76.38
                             Ciudadanos |        222        4.72       81.10
Esquerra Republicana de Catalunya (ERC) |         20        0.43       81.53
            Junts per Catalunya (JxCat) |          4        0.09       81.61
       Partido Nacionalista Vasco (PNV) |          2        0.04       81.65
              Euskal Herria Bildu (EHB) |         12        0.26       81.91
                     Coalició Compromis |        120        2.55       84.46
                     Navarra Suma (NA+) |          2        0.04       84.50
                                   Otro |        250        5.31       89.82
                                No voté |        479       10.18      100.00
----------------------------------------+-----------------------------------
                                  Total |      4,704      100.00

. tab vote2019, nolabel

Vote recall |
       2019 |
    general |
   election |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        932       19.81       19.81
          2 |        533       11.33       31.14
          3 |        647       13.75       44.90
          4 |      1,481       31.48       76.38
          5 |        222        4.72       81.10
          6 |         20        0.43       81.53
          7 |          4        0.09       81.61
          8 |          2        0.04       81.65
          9 |         12        0.26       81.91
         10 |        120        2.55       84.46
         12 |          2        0.04       84.50
         14 |        250        5.31       89.82
         16 |        479       10.18      100.00
------------+-----------------------------------
      Total |      4,704      100.00

. 
. sum support if treat==1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        716    1.696927    1.381817          1          6

. 
. capture drop vote_new

. recode vote2019 (1=0) (2=1 "PP") (3=2 "VOX") (4/16=0 "Other"), gen(vote_new)
(4,704 differences between vote2019 and vote_new)

. tab vote2019 vote_new

                      | RECODE of vote2019 (Vote recall
     Vote recall 2019 |      2019 general election)
     general election |     Other         PP        VOX |     Total
----------------------+---------------------------------+----------
Partido Socialista Ob |       932          0          0 |       932 
 Partido Popular (PP) |         0        533          0 |       533 
                  Vox |         0          0        647 |       647 
       Unidas Podemos |     1,481          0          0 |     1,481 
           Ciudadanos |       222          0          0 |       222 
Esquerra Republicana  |        20          0          0 |        20 
Junts per Catalunya ( |         4          0          0 |         4 
Partido Nacionalista  |         2          0          0 |         2 
Euskal Herria Bildu ( |        12          0          0 |        12 
   Coalició Compromis |       120          0          0 |       120 
   Navarra Suma (NA+) |         2          0          0 |         2 
                 Otro |       250          0          0 |       250 
              No voté |       479          0          0 |       479 
----------------------+---------------------------------+----------
                Total |     3,524        533        647 |     4,704 

. 
. reg support i.treat##i.vote_new##c.birth polint 

      Source |       SS           df       MS      Number of obs   =     4,307
-------------+----------------------------------   F(36, 4270)     =     85.51
       Model |  7172.72639        36    199.2424   Prob > F        =    0.0000
    Residual |  9949.32376     4,270   2.3300524   R-squared       =    0.4189
-------------+----------------------------------   Adj R-squared   =    0.4140
       Total |  17122.0502     4,306  3.97632377   Root MSE        =    1.5265

----------------------------------------------------------------------------------------
               support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
                 treat |
               Franco  |  -13.40962   11.69639    -1.15   0.252    -36.34062    9.521379
              Catalan  |   -17.0567   12.04321    -1.42   0.157    -40.66764    6.554241
          Immigration  |   33.22877   11.55209     2.88   0.004     10.58067    55.87686
             Feminism  |   19.84636   11.77479     1.69   0.092     -3.23836    42.93107
               Unions  |   14.72915     11.721     1.26   0.209    -8.250095    37.70839
                       |
              vote_new |
                   PP  |  -62.67818   24.32357    -2.58   0.010     -110.365   -14.99134
                  VOX  |   49.84107   23.23833     2.14   0.032     4.281861    95.40029
                       |
        treat#vote_new |
            Franco#PP  |   97.39917   33.89708     2.87   0.004     30.94327    163.8551
           Franco#VOX  |  -33.51256   33.90712    -0.99   0.323    -99.98813    32.96301
           Catalan#PP  |   62.18132   35.54725     1.75   0.080     -7.50977    131.8724
          Catalan#VOX  |  -53.73447   31.51964    -1.70   0.088    -115.5293      8.0604
       Immigration#PP  |  -3.968463   32.80913    -0.12   0.904    -68.29141    60.35448
      Immigration#VOX  |  -110.8681    31.4548    -3.52   0.000    -172.5358   -49.20031
          Feminism#PP  |   27.02647   33.62479     0.80   0.422    -38.89559    92.94854
         Feminism#VOX  |  -81.06741   32.27976    -2.51   0.012    -144.3525   -17.78231
            Unions#PP  |    12.5734   33.02915     0.38   0.703    -52.18091     77.3277
           Unions#VOX  |  -62.19576   32.78267    -1.90   0.058    -126.4668     2.07532
                       |
                 birth |    .002163   .0042202     0.51   0.608    -.0061108    .0104367
                       |
         treat#c.birth |
               Franco  |   .0054151   .0059262     0.91   0.361    -.0062033    .0170336
              Catalan  |   .0081376   .0061034     1.33   0.183    -.0038283    .0201035
          Immigration  |  -.0163917   .0058536    -2.80   0.005    -.0278677   -.0049156
             Feminism  |  -.0098614    .005967    -1.65   0.098    -.0215598     .001837
               Unions  |  -.0076047   .0059401    -1.28   0.201    -.0192504    .0040409
                       |
      vote_new#c.birth |
                   PP  |   .0316331   .0123459     2.56   0.010     .0074288    .0558375
                  VOX  |  -.0257083    .011773    -2.18   0.029    -.0487895   -.0026272
                       |
treat#vote_new#c.birth |
            Franco#PP  |  -.0486517   .0172043    -2.83   0.005    -.0823811   -.0149224
           Franco#VOX  |   .0186895    .017184     1.09   0.277        -.015     .052379
           Catalan#PP  |  -.0321999   .0180443    -1.78   0.074    -.0675761    .0031763
          Catalan#VOX  |   .0267957   .0159662     1.68   0.093    -.0045063    .0580977
       Immigration#PP  |    .001119   .0166515     0.07   0.946    -.0315265    .0337646
      Immigration#VOX  |   .0551042   .0159294     3.46   0.001     .0238743    .0863341
          Feminism#PP  |  -.0149018   .0170641    -0.87   0.383    -.0483563    .0185526
         Feminism#VOX  |   .0399756   .0163517     2.44   0.015     .0079177    .0720334
            Unions#PP  |  -.0072342   .0167622    -0.43   0.666    -.0400968    .0256285
           Unions#VOX  |   .0306645   .0166121     1.85   0.065    -.0019039    .0632329
                       |
                polint |   .3134571   .0318266     9.85   0.000     .2510605    .3758537
                 _cons |  -1.340247    8.32917    -0.16   0.872    -17.66975    14.98925
----------------------------------------------------------------------------------------

. 
. margins,  at(treat= 1  birth=(1945(1)2000) vote_new =(0(1)2))  

Predictive margins                                       Number of obs = 4,307
Model VCE: OLS

Expression: Linear prediction, predict()
1._at:   treat    =    1
         vote_new =    0
         birth    = 1945
2._at:   treat    =    1
         vote_new =    0
         birth    = 1946
3._at:   treat    =    1
         vote_new =    0
         birth    = 1947
4._at:   treat    =    1
         vote_new =    0
         birth    = 1948
5._at:   treat    =    1
         vote_new =    0
         birth    = 1949
6._at:   treat    =    1
         vote_new =    0
         birth    = 1950
7._at:   treat    =    1
         vote_new =    0
         birth    = 1951
8._at:   treat    =    1
         vote_new =    0
         birth    = 1952
9._at:   treat    =    1
         vote_new =    0
         birth    = 1953
10._at:  treat    =    1
         vote_new =    0
         birth    = 1954
11._at:  treat    =    1
         vote_new =    0
         birth    = 1955
12._at:  treat    =    1
         vote_new =    0
         birth    = 1956
13._at:  treat    =    1
         vote_new =    0
         birth    = 1957
14._at:  treat    =    1
         vote_new =    0
         birth    = 1958
15._at:  treat    =    1
         vote_new =    0
         birth    = 1959
16._at:  treat    =    1
         vote_new =    0
         birth    = 1960
17._at:  treat    =    1
         vote_new =    0
         birth    = 1961
18._at:  treat    =    1
         vote_new =    0
         birth    = 1962
19._at:  treat    =    1
         vote_new =    0
         birth    = 1963
20._at:  treat    =    1
         vote_new =    0
         birth    = 1964
21._at:  treat    =    1
         vote_new =    0
         birth    = 1965
22._at:  treat    =    1
         vote_new =    0
         birth    = 1966
23._at:  treat    =    1
         vote_new =    0
         birth    = 1967
24._at:  treat    =    1
         vote_new =    0
         birth    = 1968
25._at:  treat    =    1
         vote_new =    0
         birth    = 1969
26._at:  treat    =    1
         vote_new =    0
         birth    = 1970
27._at:  treat    =    1
         vote_new =    0
         birth    = 1971
28._at:  treat    =    1
         vote_new =    0
         birth    = 1972
29._at:  treat    =    1
         vote_new =    0
         birth    = 1973
30._at:  treat    =    1
         vote_new =    0
         birth    = 1974
31._at:  treat    =    1
         vote_new =    0
         birth    = 1975
32._at:  treat    =    1
         vote_new =    0
         birth    = 1976
33._at:  treat    =    1
         vote_new =    0
         birth    = 1977
34._at:  treat    =    1
         vote_new =    0
         birth    = 1978
35._at:  treat    =    1
         vote_new =    0
         birth    = 1979
36._at:  treat    =    1
         vote_new =    0
         birth    = 1980
37._at:  treat    =    1
         vote_new =    0
         birth    = 1981
38._at:  treat    =    1
         vote_new =    0
         birth    = 1982
39._at:  treat    =    1
         vote_new =    0
         birth    = 1983
40._at:  treat    =    1
         vote_new =    0
         birth    = 1984
41._at:  treat    =    1
         vote_new =    0
         birth    = 1985
42._at:  treat    =    1
         vote_new =    0
         birth    = 1986
43._at:  treat    =    1
         vote_new =    0
         birth    = 1987
44._at:  treat    =    1
         vote_new =    0
         birth    = 1988
45._at:  treat    =    1
         vote_new =    0
         birth    = 1989
46._at:  treat    =    1
         vote_new =    0
         birth    = 1990
47._at:  treat    =    1
         vote_new =    0
         birth    = 1991
48._at:  treat    =    1
         vote_new =    0
         birth    = 1992
49._at:  treat    =    1
         vote_new =    0
         birth    = 1993
50._at:  treat    =    1
         vote_new =    0
         birth    = 1994
51._at:  treat    =    1
         vote_new =    0
         birth    = 1995
52._at:  treat    =    1
         vote_new =    0
         birth    = 1996
53._at:  treat    =    1
         vote_new =    0
         birth    = 1997
54._at:  treat    =    1
         vote_new =    0
         birth    = 1998
55._at:  treat    =    1
         vote_new =    0
         birth    = 1999
56._at:  treat    =    1
         vote_new =    0
         birth    = 2000
57._at:  treat    =    1
         vote_new =    1
         birth    = 1945
58._at:  treat    =    1
         vote_new =    1
         birth    = 1946
59._at:  treat    =    1
         vote_new =    1
         birth    = 1947
60._at:  treat    =    1
         vote_new =    1
         birth    = 1948
61._at:  treat    =    1
         vote_new =    1
         birth    = 1949
62._at:  treat    =    1
         vote_new =    1
         birth    = 1950
63._at:  treat    =    1
         vote_new =    1
         birth    = 1951
64._at:  treat    =    1
         vote_new =    1
         birth    = 1952
65._at:  treat    =    1
         vote_new =    1
         birth    = 1953
66._at:  treat    =    1
         vote_new =    1
         birth    = 1954
67._at:  treat    =    1
         vote_new =    1
         birth    = 1955
68._at:  treat    =    1
         vote_new =    1
         birth    = 1956
69._at:  treat    =    1
         vote_new =    1
         birth    = 1957
70._at:  treat    =    1
         vote_new =    1
         birth    = 1958
71._at:  treat    =    1
         vote_new =    1
         birth    = 1959
72._at:  treat    =    1
         vote_new =    1
         birth    = 1960
73._at:  treat    =    1
         vote_new =    1
         birth    = 1961
74._at:  treat    =    1
         vote_new =    1
         birth    = 1962
75._at:  treat    =    1
         vote_new =    1
         birth    = 1963
76._at:  treat    =    1
         vote_new =    1
         birth    = 1964
77._at:  treat    =    1
         vote_new =    1
         birth    = 1965
78._at:  treat    =    1
         vote_new =    1
         birth    = 1966
79._at:  treat    =    1
         vote_new =    1
         birth    = 1967
80._at:  treat    =    1
         vote_new =    1
         birth    = 1968
81._at:  treat    =    1
         vote_new =    1
         birth    = 1969
82._at:  treat    =    1
         vote_new =    1
         birth    = 1970
83._at:  treat    =    1
         vote_new =    1
         birth    = 1971
84._at:  treat    =    1
         vote_new =    1
         birth    = 1972
85._at:  treat    =    1
         vote_new =    1
         birth    = 1973
86._at:  treat    =    1
         vote_new =    1
         birth    = 1974
87._at:  treat    =    1
         vote_new =    1
         birth    = 1975
88._at:  treat    =    1
         vote_new =    1
         birth    = 1976
89._at:  treat    =    1
         vote_new =    1
         birth    = 1977
90._at:  treat    =    1
         vote_new =    1
         birth    = 1978
91._at:  treat    =    1
         vote_new =    1
         birth    = 1979
92._at:  treat    =    1
         vote_new =    1
         birth    = 1980
93._at:  treat    =    1
         vote_new =    1
         birth    = 1981
94._at:  treat    =    1
         vote_new =    1
         birth    = 1982
95._at:  treat    =    1
         vote_new =    1
         birth    = 1983
96._at:  treat    =    1
         vote_new =    1
         birth    = 1984
97._at:  treat    =    1
         vote_new =    1
         birth    = 1985
98._at:  treat    =    1
         vote_new =    1
         birth    = 1986
99._at:  treat    =    1
         vote_new =    1
         birth    = 1987
100._at: treat    =    1
         vote_new =    1
         birth    = 1988
101._at: treat    =    1
         vote_new =    1
         birth    = 1989
102._at: treat    =    1
         vote_new =    1
         birth    = 1990
103._at: treat    =    1
         vote_new =    1
         birth    = 1991
104._at: treat    =    1
         vote_new =    1
         birth    = 1992
105._at: treat    =    1
         vote_new =    1
         birth    = 1993
106._at: treat    =    1
         vote_new =    1
         birth    = 1994
107._at: treat    =    1
         vote_new =    1
         birth    = 1995
108._at: treat    =    1
         vote_new =    1
         birth    = 1996
109._at: treat    =    1
         vote_new =    1
         birth    = 1997
110._at: treat    =    1
         vote_new =    1
         birth    = 1998
111._at: treat    =    1
         vote_new =    1
         birth    = 1999
112._at: treat    =    1
         vote_new =    1
         birth    = 2000
113._at: treat    =    1
         vote_new =    2
         birth    = 1945
114._at: treat    =    1
         vote_new =    2
         birth    = 1946
115._at: treat    =    1
         vote_new =    2
         birth    = 1947
116._at: treat    =    1
         vote_new =    2
         birth    = 1948
117._at: treat    =    1
         vote_new =    2
         birth    = 1949
118._at: treat    =    1
         vote_new =    2
         birth    = 1950
119._at: treat    =    1
         vote_new =    2
         birth    = 1951
120._at: treat    =    1
         vote_new =    2
         birth    = 1952
121._at: treat    =    1
         vote_new =    2
         birth    = 1953
122._at: treat    =    1
         vote_new =    2
         birth    = 1954
123._at: treat    =    1
         vote_new =    2
         birth    = 1955
124._at: treat    =    1
         vote_new =    2
         birth    = 1956
125._at: treat    =    1
         vote_new =    2
         birth    = 1957
126._at: treat    =    1
         vote_new =    2
         birth    = 1958
127._at: treat    =    1
         vote_new =    2
         birth    = 1959
128._at: treat    =    1
         vote_new =    2
         birth    = 1960
129._at: treat    =    1
         vote_new =    2
         birth    = 1961
130._at: treat    =    1
         vote_new =    2
         birth    = 1962
131._at: treat    =    1
         vote_new =    2
         birth    = 1963
132._at: treat    =    1
         vote_new =    2
         birth    = 1964
133._at: treat    =    1
         vote_new =    2
         birth    = 1965
134._at: treat    =    1
         vote_new =    2
         birth    = 1966
135._at: treat    =    1
         vote_new =    2
         birth    = 1967
136._at: treat    =    1
         vote_new =    2
         birth    = 1968
137._at: treat    =    1
         vote_new =    2
         birth    = 1969
138._at: treat    =    1
         vote_new =    2
         birth    = 1970
139._at: treat    =    1
         vote_new =    2
         birth    = 1971
140._at: treat    =    1
         vote_new =    2
         birth    = 1972
141._at: treat    =    1
         vote_new =    2
         birth    = 1973
142._at: treat    =    1
         vote_new =    2
         birth    = 1974
143._at: treat    =    1
         vote_new =    2
         birth    = 1975
144._at: treat    =    1
         vote_new =    2
         birth    = 1976
145._at: treat    =    1
         vote_new =    2
         birth    = 1977
146._at: treat    =    1
         vote_new =    2
         birth    = 1978
147._at: treat    =    1
         vote_new =    2
         birth    = 1979
148._at: treat    =    1
         vote_new =    2
         birth    = 1980
149._at: treat    =    1
         vote_new =    2
         birth    = 1981
150._at: treat    =    1
         vote_new =    2
         birth    = 1982
151._at: treat    =    1
         vote_new =    2
         birth    = 1983
152._at: treat    =    1
         vote_new =    2
         birth    = 1984
153._at: treat    =    1
         vote_new =    2
         birth    = 1985
154._at: treat    =    1
         vote_new =    2
         birth    = 1986
155._at: treat    =    1
         vote_new =    2
         birth    = 1987
156._at: treat    =    1
         vote_new =    2
         birth    = 1988
157._at: treat    =    1
         vote_new =    2
         birth    = 1989
158._at: treat    =    1
         vote_new =    2
         birth    = 1990
159._at: treat    =    1
         vote_new =    2
         birth    = 1991
160._at: treat    =    1
         vote_new =    2
         birth    = 1992
161._at: treat    =    1
         vote_new =    2
         birth    = 1993
162._at: treat    =    1
         vote_new =    2
         birth    = 1994
163._at: treat    =    1
         vote_new =    2
         birth    = 1995
164._at: treat    =    1
         vote_new =    2
         birth    = 1996
165._at: treat    =    1
         vote_new =    2
         birth    = 1997
166._at: treat    =    1
         vote_new =    2
         birth    = 1998
167._at: treat    =    1
         vote_new =    2
         birth    = 1999
168._at: treat    =    1
         vote_new =    2
         birth    = 2000

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   1.014032   .1371864     7.39   0.000     .7450755    1.282989
          2  |    1.02161   .1335658     7.65   0.000     .7597517    1.283469
          3  |   1.029188   .1299776     7.92   0.000     .7743645    1.284012
          4  |   1.036766   .1264245     8.20   0.000     .7889086    1.284624
          5  |   1.044344   .1229096     8.50   0.000     .8033778    1.285311
          6  |   1.051923   .1194361     8.81   0.000     .8177658    1.286079
          7  |   1.059501   .1160078     9.13   0.000      .832065    1.286936
          8  |   1.067079   .1126289     9.47   0.000     .8462675     1.28789
          9  |   1.074657    .109304     9.83   0.000     .8603643    1.288949
         10  |   1.082235    .106038    10.21   0.000     .8743454    1.290124
         11  |   1.089813   .1028366    10.60   0.000     .8881998    1.291426
         12  |   1.097391   .0997062    11.01   0.000     .9019152    1.292867
         13  |   1.104969   .0966534    11.43   0.000     .9154783     1.29446
         14  |   1.112547    .093686    11.88   0.000     .9288741    1.296221
         15  |   1.120125   .0908122    12.33   0.000     .9420862    1.298165
         16  |   1.127703   .0880414    12.81   0.000     .9550966     1.30031
         17  |   1.135282   .0853834    13.30   0.000     .9678857    1.302678
         18  |    1.14286   .0828492    13.79   0.000     .9804321    1.305287
         19  |   1.150438   .0804505    14.30   0.000      .992713    1.308163
         20  |   1.158016   .0781997    14.81   0.000     1.004704    1.311328
         21  |   1.165594   .0761099    15.31   0.000     1.016379    1.314809
         22  |   1.173172   .0741948    15.81   0.000     1.027712    1.318632
         23  |    1.18075   .0724681    16.29   0.000     1.038675    1.322825
         24  |   1.188328   .0709438    16.75   0.000     1.049242    1.327415
         25  |   1.195906    .069635    17.17   0.000     1.059386    1.332427
         26  |   1.203484   .0685541    17.56   0.000     1.069083    1.337886
         27  |   1.211063    .067712    17.89   0.000     1.078312    1.343813
         28  |   1.218641   .0671177    18.16   0.000     1.087055    1.350226
         29  |   1.226219   .0667778    18.36   0.000       1.0953    1.357138
         30  |   1.233797   .0666962    18.50   0.000     1.103038    1.364556
         31  |   1.241375   .0668739    18.56   0.000     1.110267    1.372482
         32  |   1.248953   .0673088    18.56   0.000     1.116993    1.380913
         33  |   1.256531   .0679959    18.48   0.000     1.123224    1.389838
         34  |   1.264109   .0689278    18.34   0.000     1.128975    1.399243
         35  |   1.271687   .0700946    18.14   0.000     1.134265    1.409109
         36  |   1.279265   .0714849    17.90   0.000     1.139118    1.419413
         37  |   1.286843   .0730859    17.61   0.000     1.143557     1.43013
         38  |   1.294422   .0748841    17.29   0.000      1.14761    1.441233
         39  |      1.302   .0768656    16.94   0.000     1.151303    1.452696
         40  |   1.309578   .0790167    16.57   0.000     1.154664    1.464492
         41  |   1.317156   .0813239    16.20   0.000     1.157719    1.476593
         42  |   1.324734   .0837743    15.81   0.000     1.160493    1.488975
         43  |   1.332312   .0863557    15.43   0.000      1.16301    1.501614
         44  |    1.33989   .0890568    15.05   0.000     1.165293    1.514488
         45  |   1.347468    .091867    14.67   0.000     1.167361    1.527575
         46  |   1.355046   .0947765    14.30   0.000     1.169235    1.540857
         47  |   1.362624   .0977765    13.94   0.000     1.170932    1.554317
         48  |   1.370203   .1008589    13.59   0.000     1.172467    1.567938
         49  |   1.377781   .1040165    13.25   0.000     1.173854    1.581707
         50  |   1.385359   .1072425    12.92   0.000     1.175108     1.59561
         51  |   1.392937    .110531    12.60   0.000     1.176239    1.609635
         52  |   1.400515   .1138765    12.30   0.000     1.177258    1.623772
         53  |   1.408093   .1172742    12.01   0.000     1.178175    1.638011
         54  |   1.415671   .1207197    11.73   0.000     1.178998    1.652345
         55  |   1.423249    .124209    11.46   0.000     1.179735    1.666763
         56  |   1.430827   .1277385    11.20   0.000     1.180393    1.681261
         57  |   2.633856    .326919     8.06   0.000     1.992925    3.274787
         58  |   2.624415   .3173929     8.27   0.000      2.00216     3.24667
         59  |   2.614975   .3079818     8.49   0.000      2.01117    3.218779
         60  |   2.605534   .2986968     8.72   0.000     2.019933    3.191135
         61  |   2.596094   .2895498     8.97   0.000     2.028426    3.163762
         62  |   2.586653   .2805544     9.22   0.000     2.036621    3.136686
         63  |   2.577213   .2717257     9.48   0.000     2.044489    3.109937
         64  |   2.567772   .2630805     9.76   0.000     2.051998    3.083547
         65  |   2.558332   .2546373    10.05   0.000      2.05911    3.057553
         66  |   2.548891   .2464171    10.34   0.000     2.065786    3.031997
         67  |   2.539451   .2384428    10.65   0.000     2.071979    3.006923
         68  |    2.53001     .23074    10.96   0.000      2.07764    2.982381
         69  |    2.52057   .2233367    11.29   0.000     2.082714    2.958426
         70  |   2.511129   .2162637    11.61   0.000      2.08714    2.935119
         71  |   2.501689   .2095545    11.94   0.000     2.090853    2.912524
         72  |   2.492248    .203245    12.26   0.000     2.093782    2.890714
         73  |   2.482808   .1973737    12.58   0.000     2.095853    2.869763
         74  |   2.473367   .1919808    12.88   0.000     2.096985    2.849749
         75  |   2.463927   .1871075    13.17   0.000     2.097099    2.830755
         76  |   2.454486   .1827955    13.43   0.000     2.096112     2.81286
         77  |   2.445046   .1790853    13.65   0.000     2.093946    2.796146
         78  |   2.435605   .1760149    13.84   0.000     2.090525    2.780686
         79  |   2.426165   .1736184    13.97   0.000     2.085782    2.766547
         80  |   2.416724    .171924    14.06   0.000     2.079664    2.753785
         81  |   2.407284   .1709523    14.08   0.000     2.072128    2.742439
         82  |   2.397843   .1707159    14.05   0.000     2.063151    2.732535
         83  |   2.388403   .1712178    13.95   0.000     2.052727    2.724079
         84  |   2.378962   .1724515    13.79   0.000     2.040868    2.717057
         85  |   2.369522   .1744015    13.59   0.000     2.027604    2.711439
         86  |   2.360081   .1770442    13.33   0.000     2.012983     2.70718
         87  |   2.350641    .180349    13.03   0.000     1.997063    2.704219
         88  |     2.3412   .1842803    12.70   0.000     1.979915    2.702486
         89  |    2.33176   .1887991    12.35   0.000     1.961615    2.701904
         90  |   2.322319   .1938643    11.98   0.000     1.942245    2.702394
         91  |   2.312879   .1994341    11.60   0.000     1.921884    2.703873
         92  |   2.303438   .2054677    11.21   0.000     1.900615    2.706262
         93  |   2.293998   .2119253    10.82   0.000     1.878514    2.709482
         94  |   2.284557   .2187695    10.44   0.000     1.855655    2.713459
         95  |   2.275117   .2259651    10.07   0.000     1.832108    2.718126
         96  |   2.265676   .2334796     9.70   0.000     1.807935    2.723418
         97  |   2.256236   .2412833     9.35   0.000     1.783195    2.729276
         98  |   2.246795   .2493489     9.01   0.000     1.757942    2.735649
         99  |   2.237355   .2576519     8.68   0.000     1.732223    2.742486
        100  |   2.227914   .2661701     8.37   0.000     1.706083    2.749746
        101  |   2.218474   .2748834     8.07   0.000     1.679559    2.757388
        102  |   2.209033    .283774     7.78   0.000     1.652689    2.765378
        103  |   2.199593   .2928256     7.51   0.000     1.625503    2.773683
        104  |   2.190152   .3020237     7.25   0.000     1.598029    2.782276
        105  |   2.180712   .3113554     7.00   0.000     1.570293     2.79113
        106  |   2.171271   .3208091     6.77   0.000     1.542319    2.800224
        107  |   2.161831   .3303742     6.54   0.000     1.514126    2.809536
        108  |    2.15239   .3400414     6.33   0.000     1.485732    2.819048
        109  |    2.14295   .3498022     6.13   0.000     1.457156    2.828744
        110  |   2.133509   .3596489     5.93   0.000     1.428411    2.838608
        111  |   2.124069   .3695747     5.75   0.000      1.39951    2.848627
        112  |   2.114628   .3795734     5.57   0.000     1.370467    2.858789
        113  |   3.690922   .3608888    10.23   0.000     2.983393    4.398452
        114  |   3.691481   .3503429    10.54   0.000     3.004627    4.378336
        115  |   3.692041   .3398803    10.86   0.000     3.025699    4.358383
        116  |     3.6926   .3295086    11.21   0.000     3.046592    4.338608
        117  |   3.693159    .319237    11.57   0.000     3.067289     4.31903
        118  |   3.693719   .3090753    11.95   0.000      3.08777    4.299667
        119  |   3.694278   .2990347    12.35   0.000     3.108014    4.280541
        120  |   3.694837   .2891279    12.78   0.000     3.127996    4.261678
        121  |   3.695396   .2793691    13.23   0.000     3.147688    4.243105
        122  |   3.695956   .2697743    13.70   0.000     3.167058    4.224853
        123  |   3.696515   .2603617    14.20   0.000     3.186071    4.206959
        124  |   3.697074   .2511518    14.72   0.000     3.204686    4.189462
        125  |   3.697633   .2421677    15.27   0.000     3.222859    4.172408
        126  |   3.698193   .2334355    15.84   0.000     3.240538    4.155847
        127  |   3.698752   .2249844    16.44   0.000     3.257666    4.139838
        128  |   3.699311   .2168474    17.06   0.000     3.274178    4.124445
        129  |    3.69987   .2090612    17.70   0.000     3.290002    4.109739
        130  |    3.70043   .2016664    18.35   0.000     3.305059    4.095801
        131  |   3.700989   .1947075    19.01   0.000     3.319261    4.082717
        132  |   3.701548    .188233    19.66   0.000     3.332514    4.070583
        133  |   3.702108   .1822945    20.31   0.000     3.344716    4.059499
        134  |   3.702667   .1769459    20.93   0.000     3.355761    4.049573
        135  |   3.703226   .1722421    21.50   0.000     3.365542     4.04091
        136  |   3.703785   .1682374    22.02   0.000     3.373953    4.033618
        137  |   3.704345   .1649826    22.45   0.000     3.380893    4.027796
        138  |   3.704904   .1625227    22.80   0.000     3.386275    4.023533
        139  |   3.705463   .1608943    23.03   0.000     3.390027    4.020899
        140  |   3.706022   .1601226    23.14   0.000     3.392099    4.019946
        141  |   3.706582   .1602202    23.13   0.000     3.392467    4.020696
        142  |   3.707141   .1611853    23.00   0.000     3.391134    4.023148
        143  |     3.7077   .1630027    22.75   0.000      3.38813     4.02727
        144  |   3.708259   .1656441    22.39   0.000     3.383511    4.033008
        145  |   3.708819   .1690711    21.94   0.000     3.377351    4.040286
        146  |   3.709378   .1732371    21.41   0.000     3.369743    4.049013
        147  |   3.709937     .17809    20.83   0.000     3.360788    4.059086
        148  |   3.710496   .1835756    20.21   0.000     3.350593      4.0704
        149  |   3.711056   .1896388    19.57   0.000     3.339265    4.082846
        150  |   3.711615   .1962262    18.91   0.000      3.32691     4.09632
        151  |   3.712174   .2032868    18.26   0.000     3.313626    4.110722
        152  |   3.712734   .2107731    17.61   0.000     3.299509    4.125958
        153  |   3.713293   .2186413    16.98   0.000     3.284642    4.141943
        154  |   3.713852   .2268517    16.37   0.000     3.269105    4.158599
        155  |   3.714411   .2353684    15.78   0.000     3.252967    4.175856
        156  |   3.714971   .2441595    15.22   0.000     3.236291     4.19365
        157  |    3.71553   .2531964    14.67   0.000     3.219133    4.211926
        158  |   3.716089   .2624536    14.16   0.000     3.201544    4.230635
        159  |   3.716648   .2719087    13.67   0.000     3.183566    4.249731
        160  |   3.717208   .2815417    13.20   0.000      3.16524    4.269176
        161  |   3.717767   .2913351    12.76   0.000     3.146599    4.288935
        162  |   3.718326    .301273    12.34   0.000     3.127675    4.308978
        163  |   3.718885   .3113418    11.94   0.000     3.108494    4.329277
        164  |   3.719445    .321529    11.57   0.000     3.089081    4.349809
        165  |   3.720004   .3318239    11.21   0.000     3.069457    4.370551
        166  |   3.720563   .3422166    10.87   0.000     3.049641    4.391486
        167  |   3.721123   .3526986    10.55   0.000      3.02965    4.412595
        168  |   3.721682   .3632621    10.25   0.000     3.009499    4.433864
------------------------------------------------------------------------------

. marginsplot, ///
> yline(3.5) xtitle("Birth year", size(medlarge)) ylabel(1(1)6, labsize(medium)) xlabel(1945(5)2000, labsize(medium) angle(45)) ytitle(Predicted support
>  for Franco Foundation, size(medlarge)) recastci(rspike) recast(scatter)  legend(lab(4 "Other voters") lab(5 "PP voters") lab(6 "VOX voters") size(med
> large) order( 4 5 6 ) row(1) region(lcolor(white)) pos(2) ring(0)) title(" ")

Variables that uniquely identify margins: birth vote_new

. graph save  "${graphs}FigureA.5_VoxPPvote_pred_coh_cont.gph",  replace
(file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.5_VoxPPvote_pred_coh_cont.gph not found)
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.5_VoxPPvote_pred_coh_cont.gph saved

. graph export  "${graphs}FigureA.5_VoxPPvote_pred_coh_cont.pdf", as(pdf) replace
file C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/graphs/FigureA.5_VoxPPvote_pred_coh_cont.pdf saved as PDF format

. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 9: Main effects of treatments
. 
. capture erase "${results}TableA.15_main_effects.xls"

. capture erase "${results}TableA.15_main_effects.txt"

. 
. // Table A.15: Main effects of treatments
. reg support i.treat female i.educ

      Source |       SS           df       MS      Number of obs   =     4,283
-------------+----------------------------------   F(10, 4272)     =     89.88
       Model |  2960.82897        10  296.082897   Prob > F        =    0.0000
    Residual |  14073.4657     4,272  3.29435058   R-squared       =    0.1738
-------------+----------------------------------   Adj R-squared   =    0.1719
       Total |  17034.2947     4,282  3.97811645   Root MSE        =     1.815

------------------------------------------------------------------------------
     support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -2.101986   .0965571   -21.77   0.000    -2.291288   -1.912684
    Catalan  |  -1.253631   .0968498   -12.94   0.000    -1.443507   -1.063755
Immigration  |   .3356562   .0948036     3.54   0.000      .149792    .5215204
   Feminism  |  -.2030121   .0950245    -2.14   0.033    -.3893094   -.0167148
     Unions  |  -.5975545   .0965166    -6.19   0.000    -.7867772   -.4083318
             |
      female |   .1600999   .0569845     2.81   0.005     .0483806    .2718191
             |
        educ |
  secondary  |   .1196106   .1249821     0.96   0.339    -.1254192    .3646404
 vocational  |  -.0461238   .1248303    -0.37   0.712    -.2908561    .1986085
     degree  |   .2335487   .1161828     2.01   0.044       .00577    .4613273
      Other  |   .3497198   .2503037     1.40   0.162    -.1410054     .840445
             |
       _cons |   3.580723   .1273988    28.11   0.000     3.330955    3.830491
------------------------------------------------------------------------------

. outreg2  using "${results}TableA.15_main_effects.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.15_main_effects.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.15_main_effects.xls
dir : seeout

. 
. reg donate i.treat female i.educ

      Source |       SS           df       MS      Number of obs   =     3,792
-------------+----------------------------------   F(10, 3781)     =     42.94
       Model |  64.4377876        10  6.44377876   Prob > F        =    0.0000
    Residual |  567.363636     3,781  .150056503   R-squared       =    0.1020
-------------+----------------------------------   Adj R-squared   =    0.0996
       Total |  631.801424     3,791   .16665825   Root MSE        =    .38737

------------------------------------------------------------------------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
       treat |
     Franco  |  -.1745038   .0215082    -8.11   0.000    -.2166727   -.1323349
    Catalan  |  -.1221782   .0217886    -5.61   0.000    -.1648968   -.0794597
Immigration  |   .2174815   .0221913     9.80   0.000     .1739734    .2609895
   Feminism  |   .0645651   .0218985     2.95   0.003     .0216312     .107499
     Unions  |  -.0523714   .0219556    -2.39   0.017    -.0954174   -.0093255
             |
      female |   .0460615   .0129932     3.55   0.000     .0205871    .0715359
             |
        educ |
  secondary  |  -.0006493   .0284775    -0.02   0.982     -.056482    .0551834
 vocational  |   -.030557   .0284701    -1.07   0.283    -.0863752    .0252612
     degree  |   -.004011    .026518    -0.15   0.880     -.056002    .0479799
      Other  |   .0476189   .0579157     0.82   0.411    -.0659301     .161168
             |
       _cons |   .2173509   .0289349     7.51   0.000     .1606213    .2740805
------------------------------------------------------------------------------

. outreg2  using "${results}TableA.15_main_effects.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.15_main_effects.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.15_main_effects.xls
dir : seeout

. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 10: VOX support and overt support for democracy
. 
. 
. // Table A.16: Percentage agreeing with democracy statements
. bys vote_3: sum autoc_dum demimp01

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_3 = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   autoc_dum |      3,675    .0838095    .2771397          0          1
    demimp01 |      3,749    .0657064    .1941368          0          1

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_3 = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   autoc_dum |        570    .2824561    .4505895          0          1
    demimp01 |        594    .1414141    .2610105          0          1

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_3 = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
   autoc_dum |         24        .125     .337832          0          1
    demimp01 |         26    .1282051    .2679456          0   .8333333


. 
. 
. // Table A.17: Regression results of overt democracy support variables
. capture erase "${results}TableA.17_main_support_democ.xls"

. capture erase "${results}TableA.17_main_support_democ.txt"

. 
. reg autoc_dum vote_3 $controls

      Source |       SS           df       MS      Number of obs   =     3,592
-------------+----------------------------------   F(12, 3579)     =     33.62
       Model |  35.1385113        12  2.92820928   Prob > F        =    0.0000
    Residual |  311.734261     3,579  .087100939   R-squared       =    0.1013
-------------+----------------------------------   Adj R-squared   =    0.0983
       Total |  346.872773     3,591  .096595036   Root MSE        =    .29513

-------------------------------------------------------------------------------------------------
                      autoc_dum | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                         vote_3 |   .1951148   .0144079    13.54   0.000     .1668663    .2233633
                            age |  -.0036051   .0003243   -11.12   0.000    -.0042409   -.0029692
                         female |  -.0401829   .0102858    -3.91   0.000    -.0603495   -.0200163
                                |
                           educ |
                     secondary  |   .0449035   .0225642     1.99   0.047     .0006634    .0891436
                    vocational  |   .0137043   .0225517     0.61   0.543    -.0305111    .0579197
                        degree  |   .0043649    .021661     0.20   0.840    -.0381043     .046834
                         Other  |   .0547841   .0461956     1.19   0.236    -.0357883    .1453564
                                |
                         polint |  -.0139683   .0070991    -1.97   0.049     -.027887   -.0000496
                         income |  -.0118328   .0027131    -4.36   0.000    -.0171521   -.0065135
                                |
                       domicile |
               Una gran ciudad  |   .0319015   .0150448     2.12   0.034     .0024042    .0613988
Las afueras de una gran ciudad  |   .0246135    .018612     1.32   0.186    -.0118777    .0611047
            Una ciudad pequeña  |   .0162473   .0143381     1.13   0.257    -.0118644    .0443589
                                |
                          _cons |   .3589819   .0375368     9.56   0.000     .2853863    .4325775
-------------------------------------------------------------------------------------------------

. *outreg2  using "${results}TableA.17_main_support_democ.xls", bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
. 
. reg autoc_dum vote_3 $controls, b // add standadized beta coef.

      Source |       SS           df       MS      Number of obs   =     3,592
-------------+----------------------------------   F(12, 3579)     =     33.62
       Model |  35.1385113        12  2.92820928   Prob > F        =    0.0000
    Residual |  311.734261     3,579  .087100939   R-squared       =    0.1013
-------------+----------------------------------   Adj R-squared   =    0.0983
       Total |  346.872773     3,591  .096595036   Root MSE        =    .29513

-------------------------------------------------------------------------------------------------
                      autoc_dum | Coefficient  Std. err.      t    P>|t|                     Beta
--------------------------------+----------------------------------------------------------------
                         vote_3 |   .1951148   .0144079    13.54   0.000                 .2160584
                            age |  -.0036051   .0003243   -11.12   0.000                -.1788931
                         female |  -.0401829   .0102858    -3.91   0.000                -.0628088
                                |
                           educ |
                     secondary  |   .0449035   .0225642     1.99   0.047                 .0581465
                    vocational  |   .0137043   .0225517     0.61   0.543                 .0180118
                        degree  |   .0043649    .021661     0.20   0.840                 .0070222
                         Other  |   .0547841   .0461956     1.19   0.236                 .0206543
                                |
                         polint |  -.0139683   .0070991    -1.97   0.049                -.0321703
                         income |  -.0118328   .0027131    -4.36   0.000                -.0744396
                                |
                       domicile |
               Una gran ciudad  |   .0319015   .0150448     2.12   0.034                 .0473542
Las afueras de una gran ciudad  |   .0246135    .018612     1.32   0.186                 .0259681
            Una ciudad pequeña  |   .0162473   .0143381     1.13   0.257                 .0256289
                                |
                          _cons |   .3589819   .0375368     9.56   0.000                        .
-------------------------------------------------------------------------------------------------

. *outreg2  using "${results}TableA.17_main_support_democ.xls", bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
. 
. reg demimp01 vote_3 $controls

      Source |       SS           df       MS      Number of obs   =     3,655
-------------+----------------------------------   F(12, 3642)     =     24.55
       Model |  11.1086989        12  .925724909   Prob > F        =    0.0000
    Residual |  137.337312     3,642  .037709311   R-squared       =    0.0748
-------------+----------------------------------   Adj R-squared   =    0.0718
       Total |  148.446011     3,654  .040625619   Root MSE        =    .19419

-------------------------------------------------------------------------------------------------
                       demimp01 | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
--------------------------------+----------------------------------------------------------------
                         vote_3 |   .0718413   .0093571     7.68   0.000     .0534956     .090187
                            age |  -.0024674   .0002116   -11.66   0.000    -.0028822   -.0020526
                         female |  -.0340043   .0067011    -5.07   0.000    -.0471426    -.020866
                                |
                           educ |
                     secondary  |   .0450976   .0145497     3.10   0.002     .0165713     .073624
                    vocational  |   .0141747   .0145592     0.97   0.330    -.0143702    .0427196
                        degree  |    .014876   .0139744     1.06   0.287    -.0125225    .0422745
                         Other  |   .0572471    .029779     1.92   0.055    -.0011381    .1156323
                                |
                         polint |  -.0198381   .0046176    -4.30   0.000    -.0288915   -.0107847
                         income |  -.0049001   .0017633    -2.78   0.005    -.0083574   -.0014429
                                |
                       domicile |
               Una gran ciudad  |    .012354   .0098051     1.26   0.208      -.00687     .031578
Las afueras de una gran ciudad  |    .002239    .012097     0.19   0.853    -.0214786    .0259566
            Una ciudad pequeña  |   .0078719   .0093299     0.84   0.399    -.0104206    .0261643
                                |
                          _cons |   .2630667   .0242109    10.87   0.000     .2155984     .310535
-------------------------------------------------------------------------------------------------

. outreg2  using "${results}TableA.17_main_support_democ.xls", bracket bdec(3) sdec(3) stats(beta) append label word alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.17_main_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.17_main_support_democ.xls
dir : seeout

. 
. reg demimp01 vote_3 $controls, b // add standadized beta coef.

      Source |       SS           df       MS      Number of obs   =     3,655
-------------+----------------------------------   F(12, 3642)     =     24.55
       Model |  11.1086989        12  .925724909   Prob > F        =    0.0000
    Residual |  137.337312     3,642  .037709311   R-squared       =    0.0748
-------------+----------------------------------   Adj R-squared   =    0.0718
       Total |  148.446011     3,654  .040625619   Root MSE        =    .19419

-------------------------------------------------------------------------------------------------
                       demimp01 | Coefficient  Std. err.      t    P>|t|                     Beta
--------------------------------+----------------------------------------------------------------
                         vote_3 |   .0718413   .0093571     7.68   0.000                 .1232161
                            age |  -.0024674   .0002116   -11.66   0.000                -.1887684
                         female |  -.0340043   .0067011    -5.07   0.000                -.0820356
                                |
                           educ |
                     secondary  |   .0450976   .0145497     3.10   0.002                 .0902367
                    vocational  |   .0141747   .0145592     0.97   0.330                 .0286816
                        degree  |    .014876   .0139744     1.06   0.287                 .0369057
                         Other  |   .0572471    .029779     1.92   0.055                 .0336403
                                |
                         polint |  -.0198381   .0046176    -4.30   0.000                -.0707653
                         income |  -.0049001   .0017633    -2.78   0.005                -.0477889
                                |
                       domicile |
               Una gran ciudad  |    .012354   .0098051     1.26   0.208                  .028225
Las afueras de una gran ciudad  |    .002239    .012097     0.19   0.853                 .0036504
            Una ciudad pequeña  |   .0078719   .0093299     0.84   0.399                 .0191507
                                |
                          _cons |   .2630667   .0242109    10.87   0.000                        .
-------------------------------------------------------------------------------------------------

. outreg2  using "${results}TableA.17_main_support_democ.xls", bracket bdec(3) sdec(3) stats(beta) append label word alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.17_main_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.17_main_support_democ.xls
dir : seeout

. 
. 
. // Table A.18: Treatment effects x VOX vote for different samples of democracy support. Outcome: Atti- tudinal Support for organization
. 
. capture erase "${results}TableA.18_treat_support_democ.xls"

. capture erase "${results}TableA.18_treat_support_democ.txt"

. 
. foreach k of varlist vote_3 {
  2. reg support i.treat##i.`k' polint if autoc_dum==0
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.18_treat_support_democ.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
  5. 
. reg support i.treat##i.`k' polint if autoc_dum==1
  6. estimates store M1_`k'
  7. outreg2  using "${results}TableA.18_treat_support_democ.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
  8. }

      Source |       SS           df       MS      Number of obs   =     3,628
-------------+----------------------------------   F(12, 3615)     =    158.65
       Model |  4984.83991        12  415.403326   Prob > F        =    0.0000
    Residual |  9465.40044     3,615  2.61836803   R-squared       =    0.3450
-------------+----------------------------------   Adj R-squared   =    0.3428
       Total |  14450.2404     3,627  3.98407509   Root MSE        =    1.6181

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -2.672188    .099289   -26.91   0.000    -2.866856    -2.47752
      Catalan  |  -1.193998    .098904   -12.07   0.000    -1.387911   -1.000085
  Immigration  |   .6911921   .0987108     7.00   0.000     .4976576    .8847265
     Feminism  |   .0696047   .0975421     0.71   0.476    -.1216384    .2608478
       Unions  |  -.4854445   .0976779    -4.97   0.000    -.6769538   -.2939353
               |
      1.vote_3 |  -.8967474   .2096103    -4.28   0.000    -1.307714   -.4857813
               |
  treat#vote_3 |
     Franco#1  |   3.099463   .3151057     9.84   0.000      2.48166    3.717266
    Catalan#1  |  -.7117719   .2996303    -2.38   0.018    -1.299233   -.1243105
Immigration#1  |  -1.755065    .283501    -6.19   0.000    -2.310903   -1.199227
   Feminism#1  |    -1.8941   .2889756    -6.55   0.000    -2.460671   -1.327528
     Unions#1  |   -1.47905    .317785    -4.65   0.000    -2.102106   -.8559945
               |
        polint |   .3727641    .038288     9.74   0.000      .297696    .4478323
         _cons |   2.743308   .1437488    19.08   0.000     2.461471    3.025145
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =       451
-------------+----------------------------------   F(12, 438)      =     10.91
       Model |  344.695377        12  28.7246147   Prob > F        =    0.0000
    Residual |  1153.37558       438  2.63327757   R-squared       =    0.2301
-------------+----------------------------------   Adj R-squared   =    0.2090
       Total |  1498.07095       450  3.32904656   Root MSE        =    1.6227

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |   -1.16999   .3124794    -3.74   0.000    -1.784136   -.5558447
      Catalan  |  -1.297077   .3324684    -3.90   0.000    -1.950509   -.6436452
  Immigration  |  -.0897309   .3032004    -0.30   0.767    -.6856394    .5061776
     Feminism  |  -.3971104   .3233236    -1.23   0.220    -1.032569    .2383481
       Unions  |  -.6097928   .3211683    -1.90   0.058    -1.241015    .0214298
               |
      1.vote_3 |   .0781466   .3823299     0.20   0.838    -.6732826    .8295757
               |
  treat#vote_3 |
     Franco#1  |   2.092339   .5355227     3.91   0.000     1.039825    3.144853
    Catalan#1  |  -.6672156   .5596076    -1.19   0.234    -1.767065    .4326343
Immigration#1  |  -1.862855    .559135    -3.33   0.001    -2.961776   -.7639335
   Feminism#1  |   -1.63686   .5475537    -2.99   0.003     -2.71302   -.5607013
     Unions#1  |  -1.625504   .5566657    -2.92   0.004    -2.719572   -.5314364
               |
        polint |   .0716039   .0845518     0.85   0.398    -.0945738    .2377817
         _cons |   3.039425   .3301105     9.21   0.000     2.390628    3.688223
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.xls
dir : seeout

. 
. sum demimp, d

             How important to live in democracy
-------------------------------------------------------------
      Percentiles      Smallest
 1%            1              1
 5%            1              1
10%            1              1       Obs               4,369
25%            1              1       Sum of wgt.       4,369

50%            1                      Mean           1.458228
                        Largest       Std. dev.      1.239667
75%            1              7
90%            3              7       Variance       1.536774
95%            5              7       Skewness       3.042844
99%            7              7       Kurtosis       11.72133

. 
. foreach k of varlist vote_3 {
  2. reg support i.treat##i.`k' polint if demimp <=3
  3. estimates store M1_`k'
  4. outreg2  using "${results}TableA.18_treat_support_democ.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
  5. 
. reg support i.treat##i.`k' polint if demimp >3
  6. estimates store M1_`k'
  7. outreg2  using "${results}TableA.18_treat_support_democ.xls", ///
> bracket bdec(3) sdec(3) append label word alpha(0.01, 0.05)
  8. 
. }

      Source |       SS           df       MS      Number of obs   =     3,843
-------------+----------------------------------   F(12, 3830)     =    164.35
       Model |  5191.72074        12  432.643395   Prob > F        =    0.0000
    Residual |  10082.3656     3,830  2.63247145   R-squared       =    0.3399
-------------+----------------------------------   Adj R-squared   =    0.3378
       Total |  15274.0864     3,842  3.97555606   Root MSE        =    1.6225

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -2.611904   .0975347   -26.78   0.000    -2.803129   -2.420679
      Catalan  |  -1.199979   .0976863   -12.28   0.000    -1.391501   -1.008456
  Immigration  |   .6597092   .0967078     6.82   0.000     .4701056    .8493129
     Feminism  |   .0659925   .0961199     0.69   0.492    -.1224586    .2544436
       Unions  |  -.4988007   .0965021    -5.17   0.000    -.6880011   -.3096002
               |
      1.vote_3 |   -.891119   .1898509    -4.69   0.000    -1.263338   -.5189004
               |
  treat#vote_3 |
     Franco#1  |   3.223809   .2801048    11.51   0.000      2.67464    3.772978
    Catalan#1  |   -.639348   .2716388    -2.35   0.019    -1.171919   -.1067774
Immigration#1  |  -1.840483    .262136    -7.02   0.000    -2.354422   -1.326543
   Feminism#1  |  -1.879734    .263054    -7.15   0.000    -2.395473   -1.363994
     Unions#1  |  -1.398873   .2894914    -4.83   0.000    -1.966445   -.8313008
               |
        polint |   .3766554   .0368646    10.22   0.000     .3043792    .4489316
         _cons |    2.69544   .1384647    19.47   0.000     2.423969    2.966912
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.xls
dir : seeout

      Source |       SS           df       MS      Number of obs   =       566
-------------+----------------------------------   F(12, 553)      =     16.72
       Model |  593.055296        12  49.4212746   Prob > F        =    0.0000
    Residual |  1634.39347       553  2.95550356   R-squared       =    0.2662
-------------+----------------------------------   Adj R-squared   =    0.2503
       Total |  2227.44876       565  3.94238719   Root MSE        =    1.7192

--------------------------------------------------------------------------------
       support | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
         treat |
       Franco  |  -1.742243   .2801122    -6.22   0.000    -2.292457   -1.192029
      Catalan  |  -.6473938    .293025    -2.21   0.028    -1.222972   -.0718155
  Immigration  |   .6196734   .2643671     2.34   0.019     .1003868     1.13896
     Feminism  |   .2247347   .2803167     0.80   0.423     -.325881    .7753505
       Unions  |  -.1967759   .2813115    -0.70   0.485    -.7493458    .3557939
               |
      1.vote_3 |  -.5444333   .4597303    -1.18   0.237    -1.447465     .358598
               |
  treat#vote_3 |
     Franco#1  |   2.584019   .6269384     4.12   0.000     1.352547    3.815491
    Catalan#1  |  -.9982356   .6233015    -1.60   0.110    -2.222564    .2260925
Immigration#1  |  -2.011191   .6259732    -3.21   0.001    -3.240767   -.7816145
   Feminism#1  |  -1.810831   .6327579    -2.86   0.004    -3.053734   -.5679285
     Unions#1  |  -1.903453   .6390984    -2.98   0.003     -3.15881   -.6480953
               |
        polint |   .2971969   .0826004     3.60   0.000      .134948    .4594457
         _cons |    2.65922   .3184887     8.35   0.000     2.033624    3.284815
--------------------------------------------------------------------------------
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.rtf
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.18_treat_support_democ.xls
dir : seeout

. 
. 
. // Table A.19: Average attitudinal support for Franco (treated group)
. 
. bys autoc_dum: sum support  if vote_3==1 & treat==1

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |         52    3.442308    1.893368          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |         30    4.266667    1.720732          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |          9           3           2          1          6


. bys autoc_dum: sum support  if vote_3==0 & treat==1

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = 0

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |        522    1.327586    .9116254          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = 1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |         50         2.1    1.446318          1          6

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> autoc_dum = .

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     support |         49    1.571429    1.241639          1          6


. 
. 
. 
. ** ----------------------------------------------------------
. ** APPENDIX 11: Representative data on VOX voters and support for Franco
. 
. use "cis_survey.dta", clear

. 
. /* keeping only relevant variables from CIS data and renaming variables
> 
>  keep B19 B19A B22 ESTUDIOS C10 C9 C19
>  lab var B19 "Did Franco exhumation affect vote?"
>  lab var B19A "How did Franco exhumation affect vote?"
>  lab var B22 "Vote recall 2019 general election"
>  lab var  ESTUDIOS "Education highest degree"
>  lab var C10 "Age"
>  lab var  C9 "Gender"
>  lab var C19 "Household income"
>  */
. 
.  
. // Recoding CIS data
. 
. tab B19 /*Did the exhumation of Franco's remnants have any influence on your vote (yes vs no)*/

 Did Franco |
 exhumation |
     affect |
      vote? |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |        274        5.70        5.70
         No |      4,509       93.86       99.56
       N.C. |         21        0.44      100.00
------------+-----------------------------------
      Total |      4,804      100.00

. recode B19 1=1 2=0 else=., gen(franco_influence)
(4,530 differences between B19 and franco_influence)

. 
. tab B19A

 How did Franco exhumation affect vote? |      Freq.     Percent        Cum.
----------------------------------------+-----------------------------------
Ha reafirmado su voluntad de votar por  |        214       78.10       78.10
Le ha llevado a cambiar el partido por  |         28       10.22       88.32
        No pensaba votar pero ha votado |          9        3.28       91.61
             Le ha llevado a abstenerse |         12        4.38       95.99
                         Otra respuesta |          6        2.19       98.18
                                   N.S. |          2        0.73       98.91
                                   N.C. |          3        1.09      100.00
----------------------------------------+-----------------------------------
                                  Total |        274      100.00

. recode B19A 5/.=., gen(franco_direction) /*for those who did have an influence: 1-reaffirmed vote choice; 2- changed vote choice; 3- led to participat
> ion; 4- led to abstention*/
(11 differences between B19A and franco_direction)

. 
. *For those who answered "changed vote choice" in previous question there is a follow-up on which party were you thinking of voting (B19B) but has too 
> few cases.
. 
. // Vote recall
. recode B22 1=1 2=2 18=3 4=4 67=5 21=5 6=5 67=5 else=., gen(vote_recall)
(2,729 differences between B22 and vote_recall)

. lab def vote 1"PP" 2"PSOE" 3"VOX" 4"Ciudadanos" 5"Podemos"

. lab val vote_recall vote 

. 
. // Control variables
. recode vote_recall 3=1 else=0, gen(vox_else)
(4,804 differences between vote_recall and vox_else)

. recode ESTUDIOS 7/.=., gen(education)
(19 differences between ESTUDIOS and education)

. rename C10 age

. recode C9 2=1 1=0, gen(female)
(4,804 differences between C9 and female)

. recode C19 98/.=., gen(hh_income)
(1,944 differences between C19 and hh_income)

. 
. tab education

  RECODE of |
   ESTUDIOS |
 (Education |
    highest |
    degree) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        256        5.35        5.35
          2 |        688       14.38       19.73
          3 |      1,100       22.99       42.72
          4 |        705       14.73       57.45
          5 |        933       19.50       76.95
          6 |      1,103       23.05      100.00
------------+-----------------------------------
      Total |      4,785      100.00

. tab ESTUDIOS

  Education highest |
             degree |      Freq.     Percent        Cum.
--------------------+-----------------------------------
       Sin estudios |        256        5.33        5.33
           Primaria |        688       14.32       19.65
Secundaria 1ª etapa |      1,100       22.90       42.55
Secundaria 2ª etapa |        705       14.68       57.22
               F.P. |        933       19.42       76.64
         Superiores |      1,103       22.96       99.60
              Otros |          2        0.04       99.65
               N.C. |         17        0.35      100.00
--------------------+-----------------------------------
              Total |      4,804      100.00

. 
. ***** 
. *Analysis discussed in appendix
. 
. tab  vote_recall franco_influence, row

+----------------+
| Key            |
|----------------|
|   frequency    |
| row percentage |
+----------------+

 RECODE of |
 B22 (Vote |
    recall |  RECODE of B19 (Did
      2019 |   Franco exhumation
   general |     affect vote?)
 election) |         0          1 |     Total
-----------+----------------------+----------
        PP |       594         69 |       663 
           |     89.59      10.41 |    100.00 
-----------+----------------------+----------
      PSOE |     1,101         58 |     1,159 
           |     95.00       5.00 |    100.00 
-----------+----------------------+----------
       VOX |       295         65 |       360 
           |     81.94      18.06 |    100.00 
-----------+----------------------+----------
Ciudadanos |       237          9 |       246 
           |     96.34       3.66 |    100.00 
-----------+----------------------+----------
   Podemos |       451         16 |       467 
           |     96.57       3.43 |    100.00 
-----------+----------------------+----------
     Total |     2,678        217 |     2,895 
           |     92.50       7.50 |    100.00 

. bys vote_recall: tab franco_influence

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = PP

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        594       89.59       89.59
          1 |         69       10.41      100.00
------------+-----------------------------------
      Total |        663      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = PSOE

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,101       95.00       95.00
          1 |         58        5.00      100.00
------------+-----------------------------------
      Total |      1,159      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = VOX

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        295       81.94       81.94
          1 |         65       18.06      100.00
------------+-----------------------------------
      Total |        360      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = Ciudadanos

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        237       96.34       96.34
          1 |          9        3.66      100.00
------------+-----------------------------------
      Total |        246      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = Podemos

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        451       96.57       96.57
          1 |         16        3.43      100.00
------------+-----------------------------------
      Total |        467      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = .

  RECODE of |
   B19 (Did |
     Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      1,831       96.98       96.98
          1 |         57        3.02      100.00
------------+-----------------------------------
      Total |      1,888      100.00


. bys vote_recall: tab franco_direction

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = PP

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         57       87.69       87.69
          2 |          7       10.77       98.46
          3 |          1        1.54      100.00
------------+-----------------------------------
      Total |         65      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = PSOE

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         48       82.76       82.76
          2 |          6       10.34       93.10
          3 |          4        6.90      100.00
------------+-----------------------------------
      Total |         58      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = VOX

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         55       87.30       87.30
          2 |          7       11.11       98.41
          3 |          1        1.59      100.00
------------+-----------------------------------
      Total |         63      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = Ciudadanos

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          5       55.56       55.56
          2 |          3       33.33       88.89
          3 |          1       11.11      100.00
------------+-----------------------------------
      Total |          9      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = Podemos

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         15       93.75       93.75
          2 |          1        6.25      100.00
------------+-----------------------------------
      Total |         16      100.00

--------------------------------------------------------------------------------------------------------------------------------------------------------
-> vote_recall = .

  RECODE of |
  B19A (How |
 did Franco |
 exhumation |
     affect |
     vote?) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         34       65.38       65.38
          2 |          4        7.69       73.08
          3 |          2        3.85       76.92
          4 |         12       23.08      100.00
------------+-----------------------------------
      Total |         52      100.00


. 
. 
. // Table A.20: Linear regression predicting VOX vote in the 2019 Spanish election
. 
. capture erase "${results}TableA.20_coef_CIS.xls"

. capture erase "${results}TableA.20_coef_CIS.txt"

. 
. reg vox_else franco_influence

      Source |       SS           df       MS      Number of obs   =     4,783
-------------+----------------------------------   F(1, 4781)      =    112.06
       Model |  7.62403147         1  7.62403147   Prob > F        =    0.0000
    Residual |  325.280004     4,781  .068035977   R-squared       =    0.0229
-------------+----------------------------------   Adj R-squared   =    0.0227
       Total |  332.904035     4,782  .069616068   Root MSE        =    .26084

----------------------------------------------------------------------------------
        vox_else | Coefficient  Std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
franco_influence |   .1718016   .0162295    10.59   0.000     .1399844    .2036188
           _cons |   .0654247   .0038844    16.84   0.000     .0578094      .07304
----------------------------------------------------------------------------------

. outreg2  using "${results}TableA.20_coef_CIS.xls", bdec(3) sdec(3) append bracket alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.20_coef_CIS.xls
dir : seeout

. 
. reg vox_else franco_influence ib1.education age female hh_income, b

      Source |       SS           df       MS      Number of obs   =     2,840
-------------+----------------------------------   F(9, 2830)      =     20.50
       Model |  12.9883692         9  1.44315214   Prob > F        =    0.0000
    Residual |  199.222546     2,830  .070396659   R-squared       =    0.0612
-------------+----------------------------------   Adj R-squared   =    0.0582
       Total |  212.210915     2,839  .074748473   Root MSE        =    .26532

----------------------------------------------------------------------------------
        vox_else | Coefficient  Std. err.      t    P>|t|                     Beta
-----------------+----------------------------------------------------------------
franco_influence |   .1692324   .0213362     7.93   0.000                 .1448253
                 |
       education |
              2  |   .0007187   .0238439     0.03   0.976                  .000938
              3  |   .0616552   .0243317     2.53   0.011                 .0958607
              4  |   .0037223   .0268587     0.14   0.890                 .0046098
              5  |   .0191344   .0259062     0.74   0.460                 .0273509
              6  |   -.044135   .0262724    -1.68   0.093                -.0679758
                 |
             age |  -.0014349   .0003444    -4.17   0.000                -.0908574
          female |  -.0374217   .0100544    -3.72   0.000                -.0684319
       hh_income |   .0132667   .0032627     4.07   0.000                 .0882147
           _cons |   .0734499   .0372248     1.97   0.049                        .
----------------------------------------------------------------------------------

. outreg2  using "${results}TableA.20_coef_CIS.xls", ///
> bracket bdec(3) sdec(3) append alpha(0.01, 0.05)
C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication/results/TableA.20_coef_CIS.xls
dir : seeout

. 
. 
. log close
      name:  <unnamed>
       log:  C:\Users\spp7e\Dropbox\Project_Populism\Vox\Analysis\Replication\Appendix.log
  log type:  text
 closed on:  21 Mar 2024, 14:35:59
--------------------------------------------------------------------------------------------------------------------------------------------------------
